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Human Recognition At A Distance In Video
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Book Synopsis Human Recognition at a Distance in Video by : Bir Bhanu
Download or read book Human Recognition at a Distance in Video written by Bir Bhanu and published by Springer Science & Business Media. This book was released on 2010-11-05 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that can be most easily captured from a distance using a video camera. This comprehensive and logically organized text/reference addresses the fundamental problems associated with gait and face-based human recognition, from color and infrared video data that are acquired from a distance. It examines both model-free and model-based approaches to gait-based human recognition, including newly developed techniques where the both the model and the data (obtained from multiple cameras) are in 3D. In addition, the work considers new video-based techniques for face profile recognition, and for the super-resolution of facial imagery obtained at different angles. Finally, the book investigates integrated systems that detect and fuse both gait and face biometrics from video data. Topics and features: discusses a framework for human gait analysis based on Gait Energy Image, a spatio-temporal gait representation; evaluates the discriminating power of model-based gait features using Bayesian statistical analysis; examines methods for human recognition using 3D gait biometrics, and for moving-human detection using both color and thermal image sequences; describes approaches for the integration face profile and gait biometrics, and for super-resolution of frontal and side-view face images; introduces an objective non-reference quality evaluation algorithm for super-resolved images; presents performance comparisons between different biometrics and different fusion methods for integrating gait and super-resolved face from video. This unique and authoritative text is an invaluable resource for researchers and graduate students of computer vision, pattern recognition and biometrics. The book will also be of great interest to professional engineers of biometric systems.
Book Synopsis Recognition of Humans and Their Activities Using Video by : Rama Chellappa
Download or read book Recognition of Humans and Their Activities Using Video written by Rama Chellappa and published by Springer Nature. This book was released on 2022-05-31 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, we discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and describe some of the more well-known methods in these areas. We also describe our own research and outline future possibilities. In the area of face recognition, we start with the traditional methods for image-based analysis and then describe some of the more recent developments related to the use of video sequences, 3D models, and techniques for representing variations of illumination. We note that the main challenge facing researchers in this area is the development of recognition strategies that are robust to changes due to pose, illumination, disguise, and aging. Gait recognition is a more recent area of research in video understanding, although it has been studied for a long time in psychophysics and kinesiology. The goal for video scientists working in this area is to automatically extract the parameters for representation of human gait. We describe some of the techniques that have been developed for this purpose, most of which are appearance based. We also highlight the challenges involved in dealing with changes in viewpoint and propose methods based on image synthesis, visual hull, and 3D models. In the domain of human activity recognition, we present an extensive survey of various methods that have been developed in different disciplines like artificial intelligence, image processing, pattern recognition, and computer vision. We then outline our method for modeling complex activities using 2D and 3D deformable shape theory. The wide application of automatic human identification and activity recognition methods will require the fusion of different modalities like face and gait, dealing with the problems of pose and illumination variations, and accurate computation of 3D models. The last chapter of this lecture deals with these areas of future research.
Book Synopsis Human Action Recognition in Video Data Using Color and Distance by : Rawya Al-Akam
Download or read book Human Action Recognition in Video Data Using Color and Distance written by Rawya Al-Akam and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Gait-based Human Recognition in Video by : Ju Han
Download or read book Gait-based Human Recognition in Video written by Ju Han and published by . This book was released on 2005 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Developmet of an Intelligent System for Recognition of Partially Occluded Human Subject in Video Surveillance System by : Mohd Faid bin Yahya
Download or read book Developmet of an Intelligent System for Recognition of Partially Occluded Human Subject in Video Surveillance System written by Mohd Faid bin Yahya and published by . This book was released on 2013 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, off-the-shelf cameras became vastly available, producing a huge amount of content that can be used in various applications. Among the applications, visual surveillance receives a great deal of interest. In visual surveillance, for the purpose of advanced security and monitoring system, human recognition at a distance is of importance. Interest in finding specific individual becomes important such as the case in locating missing person and identification of terrorist from recording of video surveillance in public places. Many methods published so far for human recognition in video image analysis focused on face and gait. However, these methods have low recognition performance due to some external factors such as face are prone to fake facial images and gait is susceptible to occlusion. The presence of the occlusion introduces errors into many existing vision algorithms which have yet to be resolved. In such situations vision techniques to identify a human fails because descriptors of part of the human shape may not have any resemblance with the descriptors of the entire human shape. To resolve this problem, an intelligent system for human recognition under partial occlusion is proposed in this study. The hypothesis of the study is that special features of human body shape can be used to identify a person identity from a distance. Each person has different body features characteristics and hence recognizable using these special body shape features. The body shape features used are the head, shoulder, and trunk. The features can be recognized using fuzzy logic (FL) approach and used as inputs to a recognition system based on a multilayer neural network (MNN). For the developed human recognition algorithm, database has been implemented to provide efficiency in displaying, storing, and retrieval of data. Experimental results show that the developed human recognition system is capable of detecting and recognizing human subject from a distance with 98.1% and 77.5% accuracy respectively. For successful identity recognition, the average percentage coverage of occlusion for Single Direction Partial Occlusion Test (SDPOT) from the top, bottom, left, and right of specific human subjects are 0.41%, 10.41%, 8.44%, and 12.27% respectively. Whereas for Multiple Direction Partial Occlusion Test (MDPOT), an average of 40.15% coverage of occlusions is achieved with successful recognition while the lowest is found to be 11.92% and highest is 60.92%.
Book Synopsis Person Identification from Video with Multiple Biometric Cues: Benchmarks for Human and Machine Performance by :
Download or read book Person Identification from Video with Multiple Biometric Cues: Benchmarks for Human and Machine Performance written by and published by . This book was released on 2003 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: We have compiled a database of images and videos that includes images and videos of approximately 300 human participants. Duplicate sets of images and videos taken from 1 week to 6 months after the first set are available for approximately 200 of these people. The images include 9 standard "mug shot poses". The videos include head rotations, dynamic facial expressions, facial speech clips, and 3 whole-body gait clips. Experiments have been completed comparing the effects of several types of facial motion on face recognition, the effects of face familiarity on recognition from video clips taken at a distance, and on the effects of attention on recognition of moving faces. The results of these studies provide insight into the way motion can facilitate or interfere with the encoding of the invariant face and body features that support recognition.
Book Synopsis Audio- and Video-Based Biometric Person Authentication by : Josef Bigun
Download or read book Audio- and Video-Based Biometric Person Authentication written by Josef Bigun and published by Springer. This book was released on 2003-05-15 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA 2001, held in Halmstad, Sweden in June 2001.The 51 revised papers presented together with three invited papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on face as biometrics; face image processing; speech as biometrics and speech processing; fingerprints as biometrics; gait as biometrics; and hand, signature, and iris as biometrics.
Book Synopsis Handbook of Face Recognition by : Stan Z. Li
Download or read book Handbook of Face Recognition written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2011-08-22 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.
Book Synopsis Human Re-identification Through a Video Camera Network by : Slawomir Bąk
Download or read book Human Re-identification Through a Video Camera Network written by Slawomir Bąk and published by . This book was released on 2012 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis targets the appearance-based re-identification of humans in images and videos. Human re-identification is defined as a requirement to determine whether a given individual has already appeared over a network of cameras. This problem is particularly hard by significant appearance changes across different camera views, where variations in viewing angle, illumination and object pose, make the problem challenging. We focus on developing robust appearance models that are able to match human appearances registered in disjoint camera views. As encoding of image regions is fundamental for appearance matching, we study different kinds of image descriptors. These different descriptors imply different strategies for appearance matching, bringing different models for the human appearance representation. By applying machine learning techniques, we generate descriptive and discriminative models, which enhance distinctive characteristics of extracted features, improving re-identification accuracy. This thesis makes the following contributions. We propose six techniques for human re-identification. The first two belong to single-shot approaches, in which a single image is sufficient to extract a robust signature. These approaches divide the human body into the predefined body parts and then extract image features. This allows to establish the corresponding body parts, while comparing signatures. The remaining four methods address the re-identification problem using signatures computed from multiple images (multiple-shot case). We propose two techniques which learn online the human appearance model using a boosting scheme. The boosting approaches improve recognition accuracy at the expense of time consumption. The last two approaches either assume the predefined model, or learn offline a model, to meet time requirements. We find that covariance feature is in general the best descriptor for matching appearances across disjoint camera views. As a distance operator of this descriptor is computationally intensive, we also propose a new GPU-based implementation which significantly speeds up computations. Our experiments suggest that mean Riemannian covariance computed from multiple images improves state of the art performance of human re-identification techniques. Finally, we extract two new image sets of individuals for evaluating the multiple-shot scenario.
Book Synopsis Audio- and Video-based Biometric Person Authentication by :
Download or read book Audio- and Video-based Biometric Person Authentication written by and published by . This book was released on 2003 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Video Analytics. Face and Facial Expression Recognition and Audience Measurement by : Kamal Nasrollahi
Download or read book Video Analytics. Face and Facial Expression Recognition and Audience Measurement written by Kamal Nasrollahi and published by Springer. This book was released on 2017-03-28 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Third Workshop on Video Analytics for Audience Measurement, VAAM 2016, and the Second International Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2016, held at the 23rd International Conference on Pattern Recognition, ICPR 2016, in Cancun, Mexico, in December 2016. The 11 papers presented in this volume were carefully reviewed and selected from 13 submissions. They deal with: re-identification; consumer behavior analysis; utilizing pupillary response for task difficulty measurement; logo detection; saliency prediction; classification of facial expressions; face recognition; face verification; age estimation; super resolution; pose estimation; and pain recognition.
Book Synopsis Human Recognition in Unconstrained Environments by : Maria De Marsico
Download or read book Human Recognition in Unconstrained Environments written by Maria De Marsico and published by Academic Press. This book was released on 2017-01-09 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Recognition in Unconstrained Environments provides a unique picture of the complete ‘in-the-wild’ biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. Coverage includes: Data hardware architecture fundamentals Background subtraction of humans in outdoor scenes Camera synchronization Biometric traits: Real-time detection and data segmentation Biometric traits: Feature encoding / matching Fusion at different levels Reaction against security incidents Ethical issues in non-cooperative biometric recognition in public spaces With this book readers will learn how to: Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and security Choose the most suited biometric traits and recognition methods for uncontrolled settings Evaluate the performance of a biometric system on real world data Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities
Book Synopsis Biometric Recognition by : Weihong Deng
Download or read book Biometric Recognition written by Weihong Deng and published by Springer Nature. This book was released on 2022-11-03 with total page 711 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 16th Chinese Conference on Biometric Recognition, CCBR 2022, which took place in Beijing, China, in November 2022. The 70 papers presented in this volume were carefully reviewed and selected from 115 submissions. The papers cover a wide range of topics such as Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking; Gesture and Action Recognition; Affective Computing and Human-Computer Interface; Speaker and Speech Recognition; Gait, Iris and Other Biometrics; Multi-modal Biometric Recognition and Fusion; Quality Evaluation and Enhancement of Biometric Signals; Animal Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.
Book Synopsis Unconstrained Face Recognition by : Shaohua Kevin Zhou
Download or read book Unconstrained Face Recognition written by Shaohua Kevin Zhou and published by Springer Science & Business Media. This book was released on 2006-10-11 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.
Book Synopsis Behavioral Biometrics for Human Identification: Intelligent Applications by : Wang, Liang
Download or read book Behavioral Biometrics for Human Identification: Intelligent Applications written by Wang, Liang and published by IGI Global. This book was released on 2009-08-31 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This edited book provides researchers and practitioners a comprehensive understanding of the start-of-the-art of behavioral biometrics techniques, potential applications, successful practice, and available resources"--Provided by publisher.
Download or read book Biometric Systems written by Loris Nanni and published by MDPI. This book was released on 2021-09-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.
Book Synopsis Computer Vision in Control Systems-2 by : Margarita N. Favorskaya
Download or read book Computer Vision in Control Systems-2 written by Margarita N. Favorskaya and published by Springer. This book was released on 2014-10-30 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include: · Human Action Recognition: Contour-Based and Silhouette-based Approaches. · The Application of Machine Learning Techniques to Real Time Audience Analysis System. · Panorama Construction from Multi-view Cameras in Outdoor Scenes. · A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. · Perception of Audio Visual Information for Mobile Robot Motion Control Systems. · Adaptive Surveillance Algorithms Based on the Situation Analysis. · Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation. · Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing. · Efficient Denoising Algorithms for Intelligent Recognition Systems. · Image Segmentation Based on Two-dimensional Markov Chains. The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.
