Human Recognition at a Distance in Video

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Publisher : Springer Science & Business Media
ISBN 13 : 0857291246
Total Pages : 268 pages
Book Rating : 4.40/5 ( download)

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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.

Gait-based Human Recognition in Video

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Publisher :
ISBN 13 :
Total Pages : 372 pages
Book Rating : 4.77/5 ( download)

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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:

Recognition of Humans and Their Activities Using Video

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 159829007X
Total Pages : 179 pages
Book Rating : 4.73/5 ( download)

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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 Morgan & Claypool Publishers. This book was released on 2006-01-01 with total page 179 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.

Recognition Of Humans And Their Activities Using Video

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Publisher :
ISBN 13 : 9781598293555
Total Pages : pages
Book Rating : 4.59/5 ( download)

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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 . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Audio-and Video-Based Biometric Person Authentication

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Publisher : Springer Science & Business Media
ISBN 13 : 3540403027
Total Pages : 998 pages
Book Rating : 4.29/5 ( download)

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Book Synopsis Audio-and Video-Based Biometric Person Authentication by : Josef Kittler

Download or read book Audio-and Video-Based Biometric Person Authentication written by Josef Kittler and published by Springer Science & Business Media. This book was released on 2003-06-02 with total page 998 pages. Available in PDF, EPUB and Kindle. Book excerpt: The refereed proceedings of the 4th International Conference on Audio-and Video-Based Biometric Person Authentication, AVBPA 2003, held in Guildford, UK, in June 2003. The 39 revised full plenary papers and 72 revised full poster papers were carefully reviewed and selected for presentation. There are topical sections on face; speech; fingerprint; image, video processing, and tracking; general issues; handwriting, signature, and palm; gait; and fusion.

Applications and Science in Soft Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 3540452400
Total Pages : 351 pages
Book Rating : 4.09/5 ( download)

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Book Synopsis Applications and Science in Soft Computing by : Ahmad Lotfi

Download or read book Applications and Science in Soft Computing written by Ahmad Lotfi and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing techniques have reached a significant level of recognition and - ceptance from both the academic and industrial communities. The papers collected in this volume illustrate the depth of the current theoretical research trends and the breadth of the application areas in which soft computing methods are making c- tributions. This volume consists of forty six selected papers presented at the Fourth Inter- tional Conference on Recent Advances in Soft Computing, which was held in N- th th tingham, United Kingdom on 12 and 13 December 2002 at Nottingham Trent University. This volume is organized in five parts. The first four parts address mainly the f- damental and theoretical advances in soft computing, namely Artificial Neural Networks, Evolutionary Computing, Fuzzy Systems and Hybrid Systems. The fifth part of this volume presents papers that deal with practical issues and ind- trial applications of soft computing techniques. We would like to express our sincere gratitude to all the authors who submitted contributions for inclusion. We are also indebted to Janusz Kacprzyk for his - vices related to this volume. We hope you find the volume an interesting refl- tion of current theoretical and application based soft computing research.

Gait as a Biometric for Person Identification in Video Sequences

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Publisher :
ISBN 13 :
Total Pages : 49 pages
Book Rating : 4.99/5 ( download)

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Book Synopsis Gait as a Biometric for Person Identification in Video Sequences by : Chiraz BenAbdelkader

Download or read book Gait as a Biometric for Person Identification in Video Sequences written by Chiraz BenAbdelkader and published by . This book was released on 2001 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term gait recognition is typically used to signify the identification of individuals in image sequences 'by the way they walk'. There is an increased interest in gait as a biometric, ainly due to its non-intrusive as well as non-concealable nature. Considerable research efforts are being devoted in the computer vision community to characterize and extract gait dynamics automatically from video. The objective is to use gait as a filter (or indicator) to effectively enhance the overall recognition performance of a system that uses multiple modalities. In this proposal, we describe two different gait recognition methods; a non-parametric method that uses the self-similarity plot of a walking sequence as the input feature for classification; and a parametric method that estimates the spatiotemporal parameters of gait (the cadence and stride length) and exploits their linear relationship as a cue for identification. Finally, because carried loads are gait-altering, we also present a motion-based method to detect whether a walking person carries an object (load).

Advances in Machine Learning and Computational Intelligence

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Publisher : Springer Nature
ISBN 13 : 9811552436
Total Pages : 853 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Advances in Machine Learning and Computational Intelligence by : Srikanta Patnaik

Download or read book Advances in Machine Learning and Computational Intelligence written by Srikanta Patnaik and published by Springer Nature. This book was released on 2020-07-25 with total page 853 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.

Human Identification Based on Gait

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Publisher : Springer Science & Business Media
ISBN 13 : 0387294880
Total Pages : 191 pages
Book Rating : 4.89/5 ( download)

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Book Synopsis Human Identification Based on Gait by : Mark S. Nixon

Download or read book Human Identification Based on Gait written by Mark S. Nixon and published by Springer Science & Business Media. This book was released on 2010-05-26 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Identification Based on Gait is the first book to address gait as a biometric. Biometrics is now in a unique position where it affects most people's lives. This is especially true of "gait", which is one of the most recent biometrics. Recognizing people by the way they walk and run implies analyzing movement which, in turn, implies analyzing sequences of images, thus requiring memory and computational performance that became available only recently. Human Identification Based on Gait introduces developments from distinguished researchers within this relatively new area of biometrics. This book clearly establishes how human gait is biometric. Human Identification Based on Gait is structured to meet the needs of professionals in industry, as well as advanced-level students in computer science.

2020 21st International Arab Conference on Information Technology (ACIT)

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Publisher :
ISBN 13 : 9781728188560
Total Pages : pages
Book Rating : 4.63/5 ( download)

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Book Synopsis 2020 21st International Arab Conference on Information Technology (ACIT) by : IEEE Staff

Download or read book 2020 21st International Arab Conference on Information Technology (ACIT) written by IEEE Staff and published by . This book was released on 2020-11-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Arab Conference on Information Technology (ACIT 2020) is a forum for scientists, engineers, and practitioners to present their latest research, results, ideas, developments, and applications in all areas of information technology ACIT 2020 will include presentations to contributed papers and state of the art lectures by invited keynote speakers Tutorials on current issues and special sessions on new trends related to information technology and software industry could be organized This conference is considered as the official scientific conference for the Colleges of Computer and Information Society, stemming from the Association of Arab Universities