Search results for: human-recognition-at-a-distance-in-video

Human Recognition at a Distance in Video

Author : Bir Bhanu
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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.

Behavioral Biometrics for Human Identification Intelligent Applications

Author : Wang, Liang
File Size : 83.2 MB
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"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.

Audio and Video Based Biometric Person Authentication

Author : Takeo Kanade
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This book constitutes the refereed proceedings of the 5th International Conference on Audio- and Video-Based Biometric Person Authentication, AVBPA 2005, held in Hilton Rye Town, NY, USA, in July 2005. The 66 revised oral papers and 50 revised poster papers presented were carefully reviewed and selected from numerous submissions. The papers discuss all aspects of biometrics including iris, fingerprint, face, palm print, gait, gesture, speaker, and signature; theoretical and algorithmic issues are dealt with as well as systems issues. The industrial side of biometrics is evident from presentations on smart cards, wireless devices, and architectural and implementation aspects.

Audio and Video Based Biometric Person Authentication

Author : Josef Kittler
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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.

Audio and Video based Biometric Person Authentication

Author :
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Deep Learning for Biometrics

Author : Bir Bhanu
File Size : 34.26 MB
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This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined. Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches for gesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories. Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.

Face Biometrics for Personal Identification

Author : Besma Abidi
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This book provides ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems.

Second International Workshop on Digital and Computational Video

Author : Vijay K. Jain
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"IEEE Computer Society Order Number PR001110"--verso of T.p.

Recognition of Humans and Their Activities Using Video

Author : Rama Chellappa
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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.

Digital Video and Television

Author : Ioannis Pitas
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This book is the most up-to-date introduction to digital video and television. It is very suitable to university/college/arts students and video enthusiasts, by providing an accurate presentation, without too many mathematical/technical details. It covers all technologies related to video shooting/acquisition, editing, compression, optical storage, broadcasting and display. To this end, various video compression methods (MPEG-2, MPEG-4, HEVC) and broadcasting systems (ATSC, DVB, DTMB, ISDB) are overviewed. Novel trends in video streaming, webcasting and mobile video are presented. An overview of the latest trends in production, post-production and visual effects is presented for movie and TV content creation. Human perception of video and quality enhancement through video processing are detailed. Video analysis, description and archiving for fast video search are overviewed. Finally, novel trends in 3DTV and digital cinema are presented.

Evaluation of Smart Video for Transit Event Detection

Author :
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Evaluation of smart video for transit event detection.

Journal of VLSI Signal Processing Systems for Signal Image and Video Technology

Author :
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Demystifying Human Action Recognition in Deep Learning with Space Time Feature Descriptors

Author : Mike Nkongolo
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Research Paper (postgraduate) from the year 2018 in the subject Computer Science - Internet, New Technologies, , course: Machine Learning, language: English, abstract: Human Action Recognition is the task of recognizing a set of actions being performed in a video sequence. Reliably and efficiently detecting and identifying actions in video could have vast impacts in the surveillance, security, healthcare and entertainment spaces. The problem addressed in this paper is to explore different engineered spatial and temporal image and video features (and combinations thereof) for the purposes of Human Action Recognition, as well as explore different Deep Learning architectures for non-engineered features (and classification) that may be used in tandem with the handcrafted features. Further, comparisons between the different combinations of features will be made and the best, most discriminative feature set will be identified. In the paper, the development and implementation of a robust framework for Human Action Recognition was proposed. The motivation behind the proposed research is, firstly, the high effectiveness of gradient-based features as descriptors - such as HOG, HOF, and N-Jets - for video-based human action recognition. They are capable of capturing both the salient spatial and temporal information in the video sequences, while removing much of the redundant information that is not pertinent to the action. Combining these features in a hierarchical fashion further increases performance.

A Handbook of Information Technology

Author : Bubu Bhuyan
File Size : 33.3 MB
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Information technology (IT) can be collectively described as that used by man to gather, store and retrieve, manipulate and communicate data and information. Today , in the 'Information Age', this takes place over and across vast geographical, demographical, socio-political and economic scopes, and the ceasing of it will choke society, as know it today, to a pre-historic standstill. It is, understandably implemented through various aspects of computing and Electronic Technology. With the growing complexity of the information processing needs throughout fields as diverse as business, science, technology, exploration and entertainment, several issues involving data security, time complexity. Bandwidth and thought put, parallel and alternative computing technology and the technology used in an ever-increasing band of newer types of devices, are posing the most crucial questions to the future of society in general and IT in particular. The book is a collection of articles written by professors, industry persons and researchers if international repute and comprises the latest breakthrough sin the fields of Information Theory and Coding, Information Security, Next Generation Internet technology, Data Mining and Knowledge Management, Mobile Computing and Communication. Bioinformatics, Soft Computing, Multimedia Systems and Communication, Quantum Computing, Image Processing and other areas which together comprise IT. This book is a must read for those seeking to expand their knowledge about various aspects of Information Technology.

Recognition Analysis and Tracking of Faces and Gestures in Real time Systems

Author :
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Annotation Twenty-seven papers, representing oral and poster presentations from the July 2001 conference in Vancouver, British Columbia, consider the abilities of computers to recognize and understand human faces and hands. Their real-time capabilities are emphasized. Topics include the reconstruction of movies of facial expressions, 3D face model reconstruction, automatic learning of appearance face models, Eigenfaces, stereo tracking of multiple moving heads, speech intent detection, fast hand gesture recognition, and learning visual models of social engagement. Author index only. c. Book News Inc.

Human Engineering Guide to Equipment Design

Author : United States. Department of Defense. Joint Services Steering Committee
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Visual Communications and Image Processing

Author :
File Size : 37.29 MB
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16th International Conference on Pattern Recognition ICPR 2002

Author : IEEE Computer Society Press
File Size : 25.4 MB
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This four-volume set contains the proceedings of the August 2002 conference based on the theme of pattern recognition for humankind and the environment. The 250 oral and seven invited papers and the 555 poster presentations cover topics including human motion; pattern recognition; neural networks and document analysis; color and texture; indexing and retrieval; computer vision and robotics; document, facial medical image, medical and microscopic image analysis; audio and image, handwriting, and image and signal processing; biomedical and multimedia applications; tracking; coding, compression and enhancement; active vision and calibration; human factors; recognition; classification; indexing and grouping; interpretation and learning; speech and handwriting, structural pattern, and clustering and statistical pattern recognition; segmentation; structure estimation; classification and feature selection; image retrieval; face detection; motion estimation; face pose; and stereo. There is no subject index. Annotation copyrighted by Book News, Inc., Portland, OR.

Automatic Target Recognition

Author :
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Proceedings

Author :
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