| 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video | http://file.papertrans.cn/825/824066/824066.mp4 | | 叢書名稱 | Synthesis Lectures on Image, Video, and Multimedia Processing | | 圖書封面 |  | | 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 | | doi | https://doi.org/10.1007/978-3-031-02236-4 | | isbn_softcover | 978-3-031-01108-5 | | isbn_ebook | 978-3-031-02236-4Series ISSN 1559-8136 Series E-ISSN 1559-8144 | | issn_series | 1559-8136 | | copyright | Springer Nature Switzerland AG 2005 |
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