Object Tracking Technology

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Publisher : Springer Nature
ISBN 13 : 9819932882
Total Pages : 280 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Object Tracking Technology by : Ashish Kumar

Download or read book Object Tracking Technology written by Ashish Kumar and published by Springer Nature. This book was released on 2023-10-27 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges. The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.· Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.

Video Object Tracking

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Author :
Publisher : Springer Nature
ISBN 13 : 3031446607
Total Pages : 130 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Video Object Tracking by : Ning Xu

Download or read book Video Object Tracking written by Ning Xu and published by Springer Nature. This book was released on with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Visual Object Tracking using Deep Learning

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Author :
Publisher : CRC Press
ISBN 13 : 1000990982
Total Pages : 216 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Visual Object Tracking using Deep Learning by : Ashish Kumar

Download or read book Visual Object Tracking using Deep Learning written by Ashish Kumar and published by CRC Press. This book was released on 2023-11-20 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the description of both conventional methods and advanced methods. In conventional methods, visual tracking techniques such as stochastic, deterministic, generative, and discriminative are discussed. The conventional techniques are further explored for multi-stage and collaborative frameworks. In advanced methods, various categories of deep learning-based trackers and correlation filter-based trackers are analyzed. The book also: Discusses potential performance metrics used for comparing the efficiency and effectiveness of various visual tracking methods Elaborates on the salient features of deep learning trackers along with traditional trackers, wherein the handcrafted features are fused to reduce computational complexity Illustrates various categories of correlation filter-based trackers suitable for superior and efficient performance under tedious tracking scenarios Explores the future research directions for visual tracking by analyzing the real-time applications The book comprehensively discusses various deep learning-based tracking architectures along with conventional tracking methods. It covers in-depth analysis of various feature extraction techniques, evaluation metrics and benchmark available for performance evaluation of tracking frameworks. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Feature Extraction and Image Processing for Computer Vision

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Publisher : Academic Press
ISBN 13 : 0123965497
Total Pages : 629 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Feature Extraction and Image Processing for Computer Vision by : Mark Nixon

Download or read book Feature Extraction and Image Processing for Computer Vision written by Mark Nixon and published by Academic Press. This book was released on 2012-09-25 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews Essential reading for engineers and students working in this cutting-edge field Ideal module text and background reference for courses in image processing and computer vision The only currently available text to concentrate on feature extraction with working implementation and worked through derivation

Anomaly Detection in Video Surveillance

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Publisher : Springer Nature
ISBN 13 : 9819730236
Total Pages : 396 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Anomaly Detection in Video Surveillance by : Xiaochun Wang

Download or read book Anomaly Detection in Video Surveillance written by Xiaochun Wang and published by Springer Nature. This book was released on with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Information Extraction and Object Tracking in Digital Video

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1839694602
Total Pages : 212 pages
Book Rating : 4.8/5 (396 download)

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Book Synopsis Information Extraction and Object Tracking in Digital Video by :

Download or read book Information Extraction and Object Tracking in Digital Video written by and published by BoD – Books on Demand. This book was released on 2022-08-17 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research on computer vision systems has been increasing every day and has led to the design of multiple types of these systems with innumerous applications in our daily life. The recent advances in artificial intelligence, together with the huge amount of digital visual data now available, have boosted vision system performance in several ways. Information extraction and visual object tracking are essential tasks in the field of computer vision with a huge number of real-world applications.This book is a result of research done by several researchers and professionals who have highly contributed to the field of image processing. It contains eight chapters divided into three sections. Section 1 consists of four chapters focusing on the problem of visual tracking. Section 2 includes three chapters focusing on information extraction from images. Finally, Section 3 includes one chapter that presents new advances in image sensors.

Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments

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Publisher : MDPI
ISBN 13 : 3036512683
Total Pages : 454 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments by : Marcin Woźniak

Download or read book Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments written by Marcin Woźniak and published by MDPI. This book was released on 2021-09-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –

Intelligent Video Surveillance

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Publisher : CRC Press
ISBN 13 : 1439813302
Total Pages : 592 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Intelligent Video Surveillance by : Yunqian Ma

Download or read book Intelligent Video Surveillance written by Yunqian Ma and published by CRC Press. This book was released on 2009-12-16 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the streets of London to subway stations in New York City, hundreds of thousands of surveillance cameras ubiquitously collect hundreds of thousands of videos, often running 24/7. How can such vast volumes of video data be stored, analyzed, indexed, and searched? How can advanced video analysis and systems autonomously recognize people and

Advanced AI Methods for Plant Disease and Pest Recognition

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Publisher : Frontiers Media SA
ISBN 13 : 2832550096
Total Pages : 350 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advanced AI Methods for Plant Disease and Pest Recognition by : Jucheng Yang

Download or read book Advanced AI Methods for Plant Disease and Pest Recognition written by Jucheng Yang and published by Frontiers Media SA. This book was released on 2024-06-06 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plant diseases and pests cause significant losses to farmers and threaten food security worldwide. Monitoring the growing conditions of crops and detecting plant diseases is critical for sustainable agriculture. Traditionally, crop inspection has been carried out by people with expert knowledge in the field. However, regarding any activity carried out by humans, this activity is prone to errors, leading to possible incorrect decisions. Innovation is, therefore, an essential fact of modern agriculture. In this context, deep learning has played a key role in solving complicated applications with increasing accuracy over time, and recent interest in this type of technology has prompted its potential application to address complex problems in agriculture, such as plant disease and pest recognition. Although substantial progress has been made in the area, several challenges still remain, especially those that limit systems to operate in real-world scenarios.

Engineering Applications in Livestock Production

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Publisher : Elsevier
ISBN 13 : 0323985815
Total Pages : 392 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Engineering Applications in Livestock Production by : Ayon Tarafdar

Download or read book Engineering Applications in Livestock Production written by Ayon Tarafdar and published by Elsevier. This book was released on 2024-01-20 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineering Applications in Livestock Production covers the recent advancements and technological developments in the field of livestock production engineering in great detail. The major advances covered in this book include the use of artificial intelligence, image processing, Internet of Things, novel animal product processing technologies, farm automation systems, sensor technology, bioengineering practices and even engineered housing systems among others. - The book includes applications of emerging sensor based and intelligent techniques/systems in the field of livestock production and management - The book will have separate chapters dedicated to innovative approaches in the livestock sector such as artificial intelligence, micro and nano sensors, IoT, image processing and farm automation - Specialists contribution of chapters provide comprehensive details while assisting the understanding of the concepts

Visual Servoing via Advanced Numerical Methods

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Publisher : Springer
ISBN 13 : 1849960895
Total Pages : 410 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Visual Servoing via Advanced Numerical Methods by : Graziano Chesi

Download or read book Visual Servoing via Advanced Numerical Methods written by Graziano Chesi and published by Springer. This book was released on 2010-03-10 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robots able to imitate human beings have been at the core of stories of science?ctionaswellasdreamsofinventorsforalongtime.Amongthe various skills that Mother Nature has provided us with and that often go forgotten, the ability of sight is certainly one of the most important. Perhaps inspired by tales of Isaac Asimov, comics and cartoons, and surely helped by the progress of electronics in recent decades, researchers have progressively made the dream of creating robots able to move and operate by exploiting arti?cial vision a concrete reality. Technically speaking, we would say that these robots position themselves and their end-e?ectors by using the view provided by some arti?cial eyes as feedback information. Indeed, the arti?cial eyes are visual sensors such as cameras that have the function to acquire an image of the environment. Such an image describes if and how the robot is moving toward the goal and hence constitutes feedback information. This procedure is known in robotics with the term visual servoing, and it is nothing else than an imitation of the intrinsic mechanism that allows human beings to realize daily tasks such as reaching the door of the house or grasping a cup of co?ee.

Innovations in Computer Science and Engineering

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Publisher : Springer
ISBN 13 : 9811082014
Total Pages : 538 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Innovations in Computer Science and Engineering by : H. S. Saini

Download or read book Innovations in Computer Science and Engineering written by H. S. Saini and published by Springer. This book was released on 2018-05-25 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented at the Fifth International Conference on Innovations in Computer Science and Engineering (ICICSE 2017) held at Guru Nanak Institutions, Hyderabad, India during 18-19 August 2017. The book discusses a wide variety of industrial, engineering and scientific applications of the engineering techniques. Researchers from academic and industry present their original work and exchange ideas, information, techniques and applications in the field of Communication, Computing and Data Science and Analytics.

Feature Dimension Reduction for Content-Based Image Identification

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Publisher : IGI Global
ISBN 13 : 1522557768
Total Pages : 303 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Feature Dimension Reduction for Content-Based Image Identification by : Das, Rik

Download or read book Feature Dimension Reduction for Content-Based Image Identification written by Das, Rik and published by IGI Global. This book was released on 2018-06-29 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image data has portrayed immense potential as a foundation of information for numerous applications. Recent trends in multimedia computing have witnessed a rapid growth in digital image collections, resulting in a need for increased image data management. Feature Dimension Reduction for Content-Based Image Identification is a pivotal reference source that explores the contemporary trends and techniques of content-based image recognition. Including research covering topics such as feature extraction, fusion techniques, and image segmentation, this book explores different theories to facilitate timely identification of image data and managing, archiving, maintaining, and extracting information. This book is ideally designed for engineers, IT specialists, researchers, academicians, and graduate-level students seeking interdisciplinary research on image processing and analysis.

Advances in Image and Graphics Technologies

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Publisher : Springer
ISBN 13 : 3662477912
Total Pages : 469 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Advances in Image and Graphics Technologies by : Tieniu Tan

Download or read book Advances in Image and Graphics Technologies written by Tieniu Tan and published by Springer. This book was released on 2015-06-16 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th Chinese Conference on Advances in Image and Graphics Technologies, IGTA 2015, held in Beijing, China, in June 2015. The 50 papers presented were carefully reviewed and selected from 138 submissions. They provide a forum for sharing new aspects of the progresses in the areas of image processing technology, image analysis und understanding, computer vision and pattern recognition, big data mining, computer graphics and VR, image technology application.

Moving Object Detection Using Background Subtraction

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Publisher : Springer
ISBN 13 : 3319073869
Total Pages : 74 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Moving Object Detection Using Background Subtraction by : Soharab Hossain Shaikh

Download or read book Moving Object Detection Using Background Subtraction written by Soharab Hossain Shaikh and published by Springer. This book was released on 2014-06-20 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.

Recent Trends and Future Technology in Applied Intelligence

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Publisher : Springer
ISBN 13 : 3319920588
Total Pages : 914 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Recent Trends and Future Technology in Applied Intelligence by : Malek Mouhoub

Download or read book Recent Trends and Future Technology in Applied Intelligence written by Malek Mouhoub and published by Springer. This book was released on 2018-06-14 with total page 914 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 31st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, held in Montreal, QC, Canada, in June 2018. The 53 full papers and 33 short papers presented were carefully reviewed and selected from 146 submissions. They are organized in the following topical sections: constraint solving and optimization; data mining and knowledge discovery; evolutionary computation; expert systems and robotics; knowledge representation, machine learning; meta-heuristics; multi-agent systems; natural language processing; neural networks; planning, scheduling and spatial reasoning; rough sets, Internet of Things (IoT), ubiquitous computing and big data; data science, privacy, and security; inelligent systems approaches in information extraction; and artificial intelligence, law and justice.

Advances in Biomedical Engineering and Technology

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Publisher : Springer Nature
ISBN 13 : 9811563292
Total Pages : 491 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Biomedical Engineering and Technology by : Albert A. Rizvanov

Download or read book Advances in Biomedical Engineering and Technology written by Albert A. Rizvanov and published by Springer Nature. This book was released on 2020-09-28 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select peer-reviewed papers presented at the International Conference on Biomedical Engineering Science and Technology: Roadway from Laboratory to Market (ICBEST 2018) organized by Department of Biomedical Engineering, National Institute of Technology Raipur, Chhattisgarh, India. The book covers latest research in a wide range of biomedical technologies ranging from biomechanics, biomaterials, biomedical instrumentation to tele-medicine, internet of things, bioinformatics, medical signal and image processing. The contents aim to bridge the gap between laboratory research and feasible market products by identifying potential technologies to enhance functionalities of diagnostic and therapeutic devices. The book will be of use to researchers, biomedical engineers, as well as medical practitioners.