Efficient human detection in crowded environment based on motion and appearance information

Chuan Shen Hu, Min Chun Hu, Wen Huang Cheng, Ja Ling Wu

研究成果: Conference contribution

摘要

Detecting human in crowded environment is profitable but challenging in video surveillance. We propose an efficient human detection method by combining both motion and appearance clues. Moving pixels are first extracted by background subtraction, and then a filtering step is used to narrow the range for human template matching. We utilize integral images to fast generate shape information from edge maps of each frame and define the matching probability to be capable of detecting both full-body and partial-body. Representative human templates are constructed by sparse contours on the basis of the point distribution model (PDM). Moreover, linear regression analysis is also applied to adaptively adjust the template sizes. With the aid of the proposed foreground ratio filtering and the multi-sized template matching techniques, our method not only can efficiently detect human in a crowded environment but also largely enhance the detection accuracy.

原文English
主出版物標題ICIMCS 2013 - Proceedings of the 5th International Conference on Internet Multimedia Computing and Service
頁面97-100
頁數4
DOIs
出版狀態Published - 2013
事件5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013 - Huangshan, China
持續時間: 2013 八月 172013 八月 19

出版系列

名字ACM International Conference Proceeding Series

Other

Other5th International Conference on Internet Multimedia Computing and Service, ICIMCS 2013
國家/地區China
城市Huangshan
期間13-08-1713-08-19

All Science Journal Classification (ASJC) codes

  • 軟體
  • 人機介面
  • 電腦視覺和模式識別
  • 電腦網路與通信

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