Robust real-time unusual event detection using multiple fixed-location monitors

被引:611
|
作者
Adam, Amit [1 ]
Rivlin, Ehud [1 ]
Shimshoni, Ilan [2 ]
Reinitz, David [3 ]
机构
[1] Technion Israel Inst Technol, Dept Comp Sci, IL-32000 Haifa, Israel
[2] Univ Haifa, Dept Management Informat Syst, IL-31905 Haifa, Israel
[3] Rafael Ltd, Haifa, Israel
关键词
video analysis; video surveillance; unusual events;
D O I
10.1109/TPAMI.2007.70825
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a novel algorithm for detection of certain types of unusual events. The algorithm is based on multiple local monitors which collect low-level statistics. Each local monitor produces an alert if its current measurement is unusual and these alerts are integrated to a final decision regarding the existence of an unusual event. Our algorithm satisfies a set of requirements that are critical for successful deployment of any large-scale surveillance system. In particular, it requires a minimal setup ( taking only a few minutes) and is fully automatic afterwards. Since it is not based on objects' tracks, it is robust and works well in crowded scenes where tracking-based algorithms are likely to fail. The algorithm is effective as soon as sufficient low-level observations representing the routine activity have been collected, which usually happens after a few minutes. Our algorithm runs in real-time. It was tested on a variety of real-life crowded scenes. A ground-truth was extracted for these scenes, with respect to which detection and false-alarm rates are reported.
引用
收藏
页码:555 / 560
页数:6
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