Surveillance event detection

Mert Dikmen, Huazhong Ning, Dennis J. Lin, Liangliang Cao, Vuong Le, Shen Fu Tsai, Kai Hsiang Lin, Zhen Li, Jianchao Yang, Thomas S. Huang, Fengjun Lv, Wei Xu, Ming Yang, Kai Yu, Zhao Zhao, Guangyu Zhu, Yihong Gong

研究成果: 會議貢獻類型會議論文同行評審

14 引文 斯高帕斯(Scopus)


We have developed and evaluated three generalized systems for event detection. The first system is a simple brute force search method, where each space-time location in the video is evaluated by a binary decision rule on whether it contains the event or not. The second system is build on top of a head tracker to avoid costly brute force searching. The decision stage is a combination of state of the art feature extractors and classifiers. Our third system has a probabilistic framework. From the observations, the pose of the people are estimated and used to determine the presence of event. Finally we introduce two ad-hoc methods that were designed to specifically detect OpposingFlow and TakePicture events. The results are promising as we are able to get good results on several event categories, while for all events we have gained valuable insights and experience.

出版狀態已出版 - 2008
事件TREC Video Retrieval Evaluation, TRECVID 2008 - Gaithersburg, MD, United States
持續時間: 17 11月 200818 11月 2008


???event.eventtypes.event.conference???TREC Video Retrieval Evaluation, TRECVID 2008
國家/地區United States
城市Gaithersburg, MD


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