Multi Camera Networks

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Multi-Camera Networks

Author : Hamid Aghajan
Publisher : Academic Press
ISBN 13 : 0080878008
Total Pages : 623 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Multi-Camera Networks by : Hamid Aghajan

Download or read book Multi-Camera Networks written by Hamid Aghajan and published by Academic Press. This book was released on 2009-04-25 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications Presents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware This book is the definitive reference in multi-camera networks. It gives clear guidance on the conceptual and implementation issues involved in the design and operation of multi-camera networks, as well as presenting the state-of-the-art in hardware, algorithms and system development. The book is broad in scope, covering smart camera architectures, embedded processing, sensor fusion and middleware, calibration and topology, network-based detection and tracking, and applications in distributed and collaborative methods in camera networks. This book will be an ideal reference for university researchers, R&D engineers, computer engineers, and graduate students working in signal and video processing, computer vision, and sensor networks. Hamid Aghajan is a Professor of Electrical Engineering (consulting) at Stanford University. His research is on multi-camera networks for smart environments with application to smart homes, assisted living and well being, meeting rooms, and avatar-based communication and social interactions. He is Editor-in-Chief of Journal of Ambient Intelligence and Smart Environments, and was general chair of ACM/IEEE ICDSC 2008. Andrea Cavallaro is Reader (Associate Professor) at Queen Mary, University of London (QMUL). His research is on target tracking and audiovisual content analysis for advanced surveillance and multi-sensor systems. He serves as Associate Editor of the IEEE Signal Processing Magazine and the IEEE Trans. on Multimedia, and has been general chair of IEEE AVSS 2007, ACM/IEEE ICDSC 2009 and BMVC 2009. The first book, by the leading experts, on this rapidly developing field with applications to security, smart homes, multimedia, and environmental monitoring Comprehensive coverage of fundamentals, algorithms, design methodologies, system implementation issues, architectures, and applications Presents in detail the latest developments in multi-camera calibration, active and heterogeneous camera networks, multi-camera object and event detection, tracking, coding, smart camera architecture and middleware

Design and Performance of Multi-camera Networks

Author : Itai Katz
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (691 download)

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Book Synopsis Design and Performance of Multi-camera Networks by : Itai Katz

Download or read book Design and Performance of Multi-camera Networks written by Itai Katz and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Camera networks have recently been proposed as a sensor modality for 3D localization and tracking tasks. Recent advances in computer vision and decreasing equipment costs have made the use of video cameras increasingly favorable. Their extensibility, unobtrusiveness, and low cost make camera networks an appealing sensor for a broad range of applications. However, due to the complex interaction between system parameters and their impact on performance, designing these systems is currently as much an art as a science. Specifically, the designer must minimize the error (where the error function may be unique to each application) by varying the camera network's configuration, all while obeying constraints imposed by scene geometry, budget, and minimum required work volume. Designers often have no objective sense of how the main parameters drive performance, resulting in a configuration based primarily on intuition. Without an objective process to search through the enormous parameter space, camera networks have enjoyed moderate success as a laboratory tool but have yet to realize their commercial potential. In this thesis we develop a systematic methodology to improve the design of multi-camera networks. First, we explore the impact of varying system parameters on performance motivated by a 3D localization task. The parameters we investigate include those pertaining to the camera (resolution, field of view, etc.), the environment (work volume and degree of occlusion) and noise sources. Ultimately, we seek to provide insights to common questions facing camera network designers: How many cameras are needed? Of what type? How should they be placed? First, to help designers efficiently explore the vast parameter spaces inherent in multi-camera network design, we develop a camera network simulation environment to rapidly evaluate potential configurations. Using this simulation, we propose a new method for camera network configuration based on genetic algorithms. Starting from an initially random population of configurations, we demonstrate how an optimal camera network configuration can be evolved, without a priori knowledge of the interdependencies between parameters. This numerical approach is adaptable to different environments or application requirements and can efficiently accommodate a high-dimensional search space, while producing superior results to hand-designed camera networks. The proposed method is both easier to implement than a hand-designed network and is more accurate, as measured by 3D point reconstruction error. Next, with the fundamentals of multi-camera network design in place, we then demonstrate how the system can be applied to a common computer vision task, namely, 3D localization and tracking. The typical approach to localization and tracking is to apply traditional 2D algorithms (that is, those designed to operate on the image plane) to multiple cameras and fuse the results. We describe a new method which takes the noise sources inherent to camera networks into account. By modeling the velocity of the tracked object in addition to position we can compensate for synchronization errors between cameras in the network, thereby reducing the localization error. Through this experiment we provide evidence that algorithms specific to multi-camera networks perform better than straightforward extensions of their single-camera counterparts. Finally, we verify the efficacy of the camera network configuration and 3D tracking algorithms by demonstrating their use in empirical experiments. The results obtained were similar to the results produced by the simulated environment.

Camera Networks

Author : Amit Roy-Chodhury
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608456757
Total Pages : 135 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Camera Networks by : Amit Roy-Chodhury

Download or read book Camera Networks written by Amit Roy-Chodhury and published by Morgan & Claypool Publishers. This book was released on 2012-01-01 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: As networks of video cameras are installed in many applications like security and surveillance, environmental monitoring, disaster response, and assisted living facilities, among others, image understanding in camera networks is becoming an important area of research and technology development. There are many challenges that need to be addressed in the process. Some of them are listed below: - Traditional computer vision challenges in tracking and recognition, robustness to pose, illumination, occlusion, clutter, recognition of objects, and activities; - Aggregating local information for wide area scene understanding, like obtaining stable, long-term tracks of objects; - Positioning of the cameras and dynamic control of pan-tilt-zoom (PTZ) cameras for optimal sensing; - Distributed processing and scene analysis algorithms; - Resource constraints imposed by different applications like security and surveillance, environmental monitoring, disaster response, assisted living facilities, etc. In this book, we focus on the basic research problems in camera networks, review the current state-of-the-art and present a detailed description of some of the recently developed methodologies. The major underlying theme in all the work presented is to take a network-centric view whereby the overall decisions are made at the network level. This is sometimes achieved by accumulating all the data at a central server, while at other times by exchanging decisions made by individual cameras based on their locally sensed data. Chapter One starts with an overview of the problems in camera networks and the major research directions. Some of the currently available experimental testbeds are also discussed here. One of the fundamental tasks in the analysis of dynamic scenes is to track objects. Since camera networks cover a large area, the systems need to be able to track over such wide areas where there could be both overlapping and non-overlapping fields of view of the cameras, as addressed in Chapter Two: Distributed processing is another challenge in camera networks and recent methods have shown how to do tracking, pose estimation and calibration in a distributed environment. Consensus algorithms that enable these tasks are described in Chapter Three. Chapter Four summarizes a few approaches on object and activity recognition in both distributed and centralized camera network environments. All these methods have focused primarily on the analysis side given that images are being obtained by the cameras. Efficient utilization of such networks often calls for active sensing, whereby the acquisition and analysis phases are closely linked. We discuss this issue in detail in Chapter Five and show how collaborative and opportunistic sensing in a camera network can be achieved. Finally, Chapter Six concludes the book by highlighting the major directions for future research. Table of Contents: An Introduction to Camera Networks / Wide-Area Tracking / Distributed Processing in Camera Networks / Object and Activity Recognition / Active Sensing / Future Research Directions

Mastering Multi-Camera Techniques

Author : Mitch Jacobson
Publisher : Taylor & Francis
ISBN 13 : 1136057897
Total Pages : 473 pages
Book Rating : 4.1/5 (36 download)

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Book Synopsis Mastering Multi-Camera Techniques by : Mitch Jacobson

Download or read book Mastering Multi-Camera Techniques written by Mitch Jacobson and published by Taylor & Francis. This book was released on 2012-09-10 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: From a basic two-camera interview to an elaborate 26 camera HD concert film, this comprehensive guide presents a platform-agnostic approach to the essential techniques required to set up and edit a multi-camera project. Actual case studies are used to examine specific usages of multi-camera editing and include a variety of genres including concerts, talk shows, reality programming, sit-coms, documentaries for television, event videography and feature films. Other features include: * Advanced multi-camera techniques and specialty work-flows are examined for tapeless & large scale productions with examples from network TV shows, corporate media projects, event videography, and feature films. * New techniques for 3D projects, 2k/4k media management and color correction are revealed. * Technical breakdowns analyze system requirements for monitoring, hard drives & RAIDs, RAM, codecs and computer platforms. * Apple Final Cut Pro, Avid Media Composer, Adobe Premiere Pro and several other software programs are detailed. * Tables, charts, screen-grabs, photos, web-links, blogs, tech school lists and other resource tools for further study. * Unique interviews with the 'Masters of Multi-Cam' including EMMY and academy award-winning directors and editors who share their project notes and give insight to award-winning techniques.

Distributed Video Sensor Networks

Author : Bir Bhanu
Publisher : Springer Science & Business Media
ISBN 13 : 0857291270
Total Pages : 476 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Distributed Video Sensor Networks by : Bir Bhanu

Download or read book Distributed Video Sensor Networks written by Bir Bhanu and published by Springer Science & Business Media. This book was released on 2011-01-04 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large-scale video networks are of increasing importance in a wide range of applications. However, the development of automated techniques for aggregating and interpreting information from multiple video streams in real-life scenarios is a challenging area of research. Collecting the work of leading researchers from a broad range of disciplines, this timely text/reference offers an in-depth survey of the state of the art in distributed camera networks. The book addresses a broad spectrum of critical issues in this highly interdisciplinary field: current challenges and future directions; video processing and video understanding; simulation, graphics, cognition and video networks; wireless video sensor networks, communications and control; embedded cameras and real-time video analysis; applications of distributed video networks; and educational opportunities and curriculum-development. Topics and features: presents an overview of research in areas of motion analysis, invariants, multiple cameras for detection, object tracking and recognition, and activities in video networks; provides real-world applications of distributed video networks, including force protection, wide area activities, port security, and recognition in night-time environments; describes the challenges in graphics and simulation, covering virtual vision, network security, human activities, cognitive architecture, and displays; examines issues of multimedia networks, registration, control of cameras (in simulations and real networks), localization and bounds on tracking; discusses system aspects of video networks, with chapters on providing testbed environments, data collection on activities, new integrated sensors for airborne sensors, face recognition, and building sentient spaces; investigates educational opportunities and curriculum development from the perspective of computer science and electrical engineering. This unique text will be of great interest to researchers and graduate students of computer vision and pattern recognition, computer graphics and simulation, image processing and embedded systems, and communications, networks and controls. The large number of example applications will also appeal to application engineers.

Camera Networks

Author : Matthew Turk
Publisher : Springer Nature
ISBN 13 : 3031018117
Total Pages : 119 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Camera Networks by : Matthew Turk

Download or read book Camera Networks written by Matthew Turk and published by Springer Nature. This book was released on 2022-05-31 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: As networks of video cameras are installed in many applications like security and surveillance, environmental monitoring, disaster response, and assisted living facilities, among others, image understanding in camera networks is becoming an important area of research and technology development. There are many challenges that need to be addressed in the process. Some of them are listed below: - Traditional computer vision challenges in tracking and recognition, robustness to pose, illumination, occlusion, clutter, recognition of objects, and activities; - Aggregating local information for wide area scene understanding, like obtaining stable, long-term tracks of objects; - Positioning of the cameras and dynamic control of pan-tilt-zoom (PTZ) cameras for optimal sensing; - Distributed processing and scene analysis algorithms; - Resource constraints imposed by different applications like security and surveillance, environmental monitoring, disaster response, assisted living facilities, etc. In this book, we focus on the basic research problems in camera networks, review the current state-of-the-art and present a detailed description of some of the recently developed methodologies. The major underlying theme in all the work presented is to take a network-centric view whereby the overall decisions are made at the network level. This is sometimes achieved by accumulating all the data at a central server, while at other times by exchanging decisions made by individual cameras based on their locally sensed data. Chapter One starts with an overview of the problems in camera networks and the major research directions. Some of the currently available experimental testbeds are also discussed here. One of the fundamental tasks in the analysis of dynamic scenes is to track objects. Since camera networks cover a large area, the systems need to be able to track over such wide areas where there could be both overlapping and non-overlapping fields of view of the cameras, as addressed in Chapter Two: Distributed processing is another challenge in camera networks and recent methods have shown how to do tracking, pose estimation and calibration in a distributed environment. Consensus algorithms that enable these tasks are described in Chapter Three. Chapter Four summarizes a few approaches on object and activity recognition in both distributed and centralized camera network environments. All these methods have focused primarily on the analysis side given that images are being obtained by the cameras. Efficient utilization of such networks often calls for active sensing, whereby the acquisition and analysis phases are closely linked. We discuss this issue in detail in Chapter Five and show how collaborative and opportunistic sensing in a camera network can be achieved. Finally, Chapter Six concludes the book by highlighting the major directions for future research. Table of Contents: An Introduction to Camera Networks / Wide-Area Tracking / Distributed Processing in Camera Networks / Object and Activity Recognition / Active Sensing / Future Research Directions

Pattern Recognition

Author : Bernd Michaelis
Publisher : Springer
ISBN 13 : 3540452435
Total Pages : 638 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Pattern Recognition by : Bernd Michaelis

Download or read book Pattern Recognition written by Bernd Michaelis and published by Springer. This book was released on 2003-09-09 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th Symposium of the German Association for Pattern Recognition, DAGM 2003, held in Magdeburg, Germany in September 2003. The 74 revised papers presented were carefully reviewed and selected from more than 140 submissions. The papers address all current issues in pattern recognition and are organized in sections on image analyses, callibration and 3D shape, recognition, motion, biomedical applications, and applications.

Automated Multi-Camera Surveillance

Author : Omar Javed
Publisher : Springer Science & Business Media
ISBN 13 : 0387788816
Total Pages : 107 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Automated Multi-Camera Surveillance by : Omar Javed

Download or read book Automated Multi-Camera Surveillance written by Omar Javed and published by Springer Science & Business Media. This book was released on 2008-12-16 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent development of intelligent surveillance systems has captured the interest of both academic research labs and industry. Automated Multi-Camera Surveillance addresses monitoring of people and vehicles, and detection of threatening objects and events in a variety of scenarios. In this book, techniques for development of an automated multi-camera surveillance system are discussed and proposed. The state-of-the-art in the automated surveillance systems is reviewed as well. Detailed explanation of sub-components of surveillance systems are provided, and enhancements to each of these components are proposed. The authors identify important challenges that such a system must address, and propose solutions. Development of a specific surveillance system called “KNIGHT” is described, along with the authors’ experience using it. This book enables the reader to understand the mathematical models and algorithms underlying automated surveillance as well as the benefits and limitations of using such methods.

Active Learning in Multi-camera Networks, with Applications in Person Re-identification

Author : Abir Das
Publisher :
ISBN 13 :
Total Pages : 117 pages
Book Rating : 4.:/5 (124 download)

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Book Synopsis Active Learning in Multi-camera Networks, with Applications in Person Re-identification by : Abir Das

Download or read book Active Learning in Multi-camera Networks, with Applications in Person Re-identification written by Abir Das and published by . This book was released on 2015 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of cheap visual sensors, camera networks are everywhere. The ubiquitous presence of cameras opens the door for cutting edge research in processing and analysis of the huge video data generated by such large-scale camera networks. Re-identification of persons coming in and out of the cameras is an important task. This has remained a challenge to the community for a variety of reasons such as change of scale, illumination, resolution etc. between cameras. All these leads to transformation of features between cameras which makes re-identification a challenging task. The first question that is addressed in this work is - Can we model the way features get transformed between cameras and use it to our advantage to re-identify persons between cameras with non-overlapping views? The similarity between the feature histograms and time series data motivated us to apply the principle of Dynamic Time Warping to study the transformation of features by warping the feature space. After capturing the feature warps, describing the transformation of features the variabilities of the warp functions were modeled as a function space of these feature warps. The function space not only allowed us to model feasible transformation between pairs of instances of the same target, but also to separate them from the infeasible transformations between instances of different targets. A supervised training phase is employed to learn a discriminating surface between these two classes in the function space.

Self-Calibration of Multi-Camera Systems

Author : Ferid Bajramovic
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832527362
Total Pages : 233 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Self-Calibration of Multi-Camera Systems by : Ferid Bajramovic

Download or read book Self-Calibration of Multi-Camera Systems written by Ferid Bajramovic and published by Logos Verlag Berlin GmbH. This book was released on 2010 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-camera systems play an increasingly important role in computer vision. They enable applications like 3D video reconstruction, motion capture, smart homes, wide area surveillance, etc. Most of these require or benefit from a calibration of the multi-camera system. This book presents a novel approach for automatically estimating that calibration. In contrast to established methods, it neither requires a calibration object nor any user interaction. From a theoretical point of view, this book also presents and solves the novel graph theoretical problem of finding shortest triangle paths.

Intelligent Robotics and Applications

Author : Honghai Liu
Publisher : Springer
ISBN 13 : 3642165842
Total Pages : 794 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Intelligent Robotics and Applications by : Honghai Liu

Download or read book Intelligent Robotics and Applications written by Honghai Liu and published by Springer. This book was released on 2010-11-18 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: The market demand for skills, knowledge and adaptability have positioned robotics to be an important field in both engineering and science. One of the most highly visible applications of robotics has been the robotic automation of many industrial tasks in factories. In the future, a new era will come in which we will see a greater success for robotics in non-industrial environments. In order to anticipate a wider deployment of intelligent and autonomous robots for tasks such as manufacturing, healthcare, ent- tainment, search and rescue, surveillance, exploration, and security missions, it is essential to push the frontier of robotics into a new dimension, one in which motion and intelligence play equally important roles. The 2010 International Conference on Intelligent Robotics and Applications (ICIRA 2010) was held in Shanghai, China, November 10–12, 2010. The theme of the c- ference was “Robotics Harmonizing Life,” a theme that reflects the ever-growing interest in research, development and applications in the dynamic and exciting areas of intelligent robotics. These volumes of Springer’s Lecture Notes in Artificial Intel- gence and Lecture Notes in Computer Science contain 140 high-quality papers, which were selected at least for the papers in general sessions, with a 62% acceptance rate Traditionally, ICIRA 2010 holds a series of plenary talks, and we were fortunate to have two such keynote speakers who shared their expertise with us in diverse topic areas spanning the rang of intelligent robotics and application activities.

Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications

Author : Ang, Li-Minn
Publisher : IGI Global
ISBN 13 : 1613501544
Total Pages : 452 pages
Book Rating : 4.6/5 (135 download)

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Book Synopsis Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications by : Ang, Li-Minn

Download or read book Visual Information Processing in Wireless Sensor Networks: Technology, Trends and Applications written by Ang, Li-Minn and published by IGI Global. This book was released on 2011-09-30 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a central source of reference on visual information processing in wireless sensor network environments and its technology, application, and society issues"--

Pattern Recognition and Computer Vision

Author : Huimin Ma
Publisher : Springer Nature
ISBN 13 : 3030880079
Total Pages : 695 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Pattern Recognition and Computer Vision by : Huimin Ma

Download or read book Pattern Recognition and Computer Vision written by Huimin Ma and published by Springer Nature. This book was released on 2021-10-22 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.

Electronics, Communications and Networks IV

Author : Amir Hussain
Publisher : CRC Press
ISBN 13 : 1315682109
Total Pages : 1868 pages
Book Rating : 4.3/5 (156 download)

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Book Synopsis Electronics, Communications and Networks IV by : Amir Hussain

Download or read book Electronics, Communications and Networks IV written by Amir Hussain and published by CRC Press. This book was released on 2015-07-01 with total page 1868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 4th International Conference on Electronic, Communications and Networks (CECNet2014) inherits the fruitfulness of the past three conferences and lays a foundation for the forthcoming next year in Shanghai. CECNet2014 was hosted by Hubei University of Science and Technology, China, with the main objective of providing a comprehensive global foru

Applications of Computational Intelligence in Multi-Disciplinary Research

Author : Ahmed A. Elngar
Publisher : Academic Press
ISBN 13 : 0128241764
Total Pages : 222 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applications of Computational Intelligence in Multi-Disciplinary Research by : Ahmed A. Elngar

Download or read book Applications of Computational Intelligence in Multi-Disciplinary Research written by Ahmed A. Elngar and published by Academic Press. This book was released on 2022-02-14 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research

Activity Based Geometry Dependent Features for Information Processing in Heterogeneous Camera Networks

Author : Erhan Baki Ermiş
Publisher :
ISBN 13 :
Total Pages : 318 pages
Book Rating : 4.:/5 (669 download)

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Book Synopsis Activity Based Geometry Dependent Features for Information Processing in Heterogeneous Camera Networks by : Erhan Baki Ermiş

Download or read book Activity Based Geometry Dependent Features for Information Processing in Heterogeneous Camera Networks written by Erhan Baki Ermiş and published by . This book was released on 2010 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Heterogeneous surveillance camera networks permit pervasive, wide-area visual surveillance for urban environments. However, due to the vast amounts of data they produce, human-operator monitoring is not possible and automatic algorithms are needed. In order to develop these automatic algorithms efficient and effective multi-camera information processing techniques must be developed. However, such multi-camera information processing techniques pose significant challenges in heterogeneous networks due to the fact that (i) most intuitive features used in video processing are geometric, i.e. utilize spatial information present in the video frames, (ii) the camera topology in heterogeneous networks is dynamic and cameras have significantly different observation geometries, consequently geometric features are not amenable to devising simple and efficient information processing techniques for heterogeneous networks. Based on these observations, we propose activity based behavior features that have certain geometry independence properties. Specifically, when the proposed features are used for information processing applications, a location observed by a number of cameras generates the same features across the cameras irrespective of their locations, orientations, and zoom levels. This geometry invariance property significantly simplifies the multi-camera information processing task in the sense that network's topology and camera calibration are no longer necessary to fuse information across cameras. We present applications of the proposed features to two such problems: (i) multi-camera correspondence, (ii) multi-camera anomaly detection. In the multi-camera correspondence application we use the activity features and propose a correspondence method that is robust to pose, illumination & geometric effects, and unsupervised (does not require any calibration objects to be utilized). In addition, through exploitation of sparsity of activity features combined with compressed sensing principles, we demonstrate that the proposed method is amenable to low communication bandwidth which is important for distributed systems. We present quantitative and qualitative results with synthetic and real life examples, which demonstrate that the proposed correspondence method outperforms methods that utilize geometric features when the cameras observe a scene with significantly different orientations. In the second application we consider the problem of abnormal behavior detection in heterogeneous networks, i.e., identification of objects whose behavior differs from behavior typically observed. We develop a framework that learns the behavior model at various regions of the video frames, and performs abnormal behavior detection via statistical methods. We show that due to the geometry independence property of the proposed features, models of normal activity obtained in one camera can be used as surrogate models in another camera to successfully perform anomaly detection. We present performance curves to demonstrate that in realistic urban monitoring scenarios, model training times can be significantly reduced when a new camera is added to a network of cameras. In both of these applications the main enabling principle is the geometry independence of the chosen features, which demonstrates how complex multi-camera information processing problems can be simplified by exploiting this principle. Finally, we present some statistical developments in the wider area of anomaly detection, which is motivated by the abnormal behavior detection application. We propose test statistics for detection problems with multidimensional observations and present optimality and robustness results.

Mastering Multi-Camera Techniques

Author : Mitch Jacobson
Publisher : CRC Press
ISBN 13 : 1136057900
Total Pages : 240 pages
Book Rating : 4.1/5 (36 download)

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Book Synopsis Mastering Multi-Camera Techniques by : Mitch Jacobson

Download or read book Mastering Multi-Camera Techniques written by Mitch Jacobson and published by CRC Press. This book was released on 2012-09-10 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: From a basic two-camera interview to an elaborate 26 camera HD concert film, this comprehensive guide presents a platform-agnostic approach to the essential techniques required to set up and edit a multi-camera project. Actual case studies are used to examine specific usages of multi-camera editing and include a variety of genres including concerts, talk shows, reality programming, sit-coms, documentaries for television, event videography and feature films. Other features include: * Advanced multi-camera techniques and specialty work-flows are examined for tapeless & large scale productions with examples from network TV shows, corporate media projects, event videography, and feature films. * New techniques for 3D projects, 2k/4k media management and color correction are revealed. * Technical breakdowns analyze system requirements for monitoring, hard drives & RAIDs, RAM, codecs and computer platforms. * Apple Final Cut Pro, Avid Media Composer, Adobe Premiere Pro and several other software programs are detailed. * Tables, charts, screen-grabs, photos, web-links, blogs, tech school lists and other resource tools for further study. * Unique interviews with the 'Masters of Multi-Cam' including EMMY and academy award-winning directors and editors who share their project notes and give insight to award-winning techniques.