View-Independent Behavior Analysis

Kaiqi Huang, Tieniu Tan, Dacheng Tao, Yuan Yuan, Xuelong Li

科研成果: 期刊稿件文章同行评审

23 引用 (Scopus)

摘要

The motion analysis of the human body is an important topic of research in computer vision devoted to detecting, tracking, and understanding people's physical behavior. This strong interest is driven by a wide spectrum of applications in various areas such as smart video surveillance. Most research in behavior (or gesture) representation focusses on view-dependent representation, and some research on view invariance considers only information from 3-D models, which is effective under considerable changes of viewpoint. This paper introduces a view-independent behavior-analysis framework based on decision fusion in which distance and view angle factors are analyzed. This is a first effort to tackle the problem of behaviors under significant changes in view angle, and a first corresponding video database is built.

源语言英语
页(从-至)1028-1035
页数8
期刊IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
39
4
DOI
出版状态已出版 - 8月 2009
已对外发布

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