Human activity analysis based on a torso-less representation

Jen-Hui Chuang*, Chun Wei Lee, Kuo Hua Lo

*Corresponding author for this work

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Human activity recognition is a popular topic in the field of computer vision. While most analysis algorithms take into consideration of the whole human body, the movements of merely the head and limbs are often informative enough in many practical applications. In this paper, a novel approach is proposed to track these extruding parts of a human body in consecutive images. Accordingly, a simplified torso-less pattern of gesture is proposed to represent human activities, and with its effectiveness verified subjectively by some experimental results. Such a representation can not only ensure the privacy of the person being watched, but is also suitable for real-time surveillance based on bandwidth-limited communication since only a very small amount of data are used compared to conventional approaches.

原文English
主出版物標題2008 19th International Conference on Pattern Recognition, ICPR 2008
DOIs
出版狀態Published - 1 十二月 2008
事件2008 19th International Conference on Pattern Recognition, ICPR 2008 - Tampa, FL, United States
持續時間: 8 十二月 200811 十二月 2008

出版系列

名字Proceedings - International Conference on Pattern Recognition
ISSN(列印)1051-4651

Conference

Conference2008 19th International Conference on Pattern Recognition, ICPR 2008
國家United States
城市Tampa, FL
期間8/12/0811/12/08

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