Titlebook: Recognition of Humans and Their Activities Using Video; Rama Chellappa,Amit K. Roy-Chowdhury,S. Kevin Zhou Book 2005 Springer Nature Switz

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Future Research Directions,from video. Some of the most pressing problems are illuminations and pose variations. One of the approaches to deal with this problem is building a 3D model from video. This is however still a difficult problem under unconstrained situations. Quality of video data, efficiency of the reconstruction a

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1559-8136 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

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Human Recognition Using Gait,an static appearance features such as face and it does not require a cooperating subject. In kinesiology, models for human walk can be used for early diagnosis of different disorders and can be used to supplement information available from other sources like X rays. They can be used to monitor the r

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Book 2005ent 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

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Rama Chellappa,Amit K. Roy-Chowdhury,S. Kevin Zhou