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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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書目名稱Recognition of Humans and Their Activities Using Video
編輯Rama Chellappa,Amit K. Roy-Chowdhury,S. Kevin Zhou
視頻videohttp://file.papertrans.cn/825/824066/824066.mp4
叢書名稱Synthesis Lectures on Image, Video, and Multimedia Processing
圖書封面Titlebook: Recognition of Humans and Their Activities Using Video;  Rama Chellappa,Amit K. Roy-Chowdhury,S. Kevin Zhou Book 2005 Springer Nature Switz
描述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
出版日期Book 2005
版次1
doihttps://doi.org/10.1007/978-3-031-02236-4
isbn_softcover978-3-031-01108-5
isbn_ebook978-3-031-02236-4Series ISSN 1559-8136 Series E-ISSN 1559-8144
issn_series 1559-8136
copyrightSpringer Nature Switzerland AG 2005
The information of publication is updating

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Recognition of Humans and Their Activities Using Video978-3-031-02236-4Series ISSN 1559-8136 Series E-ISSN 1559-8144
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Human Recognition Using Face,tic, controlled-format photographs to uncontrolled video images, posing a wide range of technical challenges and requiring an equally wide range of techniques from image processing, analysis, understanding, and pattern recognition.
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發(fā)表于 2025-3-22 18:50:47 | 只看該作者
Future Research Directions,uman body and its motion using kinematic chains in a multicamera framework. Finally, we demonstrate how the use of different modalities, face and gait for instance, can lead to higher recognition performance.
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Introduction, human visual system works by extracting information fromthe images formed on the retina of the eye, developments in computer vision are inevitably compared to the abilities of the human vision system. One of the basic tasks of the human visual system is to recognize humans and objects and spatial r
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Human Recognition Using Face,ly during the past decade. This is evidenced by the emergence of face recognition conferences such as AVBPA (2) and AFGR (1), systematic empirical evaluations of face recognition techniques (FRT), including the FERET (131), FRVT 2000 (14), FRVT 2002 (130), and XM2VTS (111) protocols, and many commer
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