[1]ZHANG Likun,SUN Jiande,LI Jing.Event detection based on visual attention shift[J].CAAI Transactions on Intelligent Systems,2012,7(4):333-338.
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Event detection based on visual attention shift

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 4 Page number: 333-338 Column: 学术论文—机器学习 Public date: 2012-08-25
Title:
Event detection based on visual attention shift
Author(s):
ZHANG Likun1;  SUN Jiande1;  LI Jing2
1.School of Information Science and Engineering, Shandong University, Ji’nan 250100, China；
2. School of Information Engineering, Shandong Institute of Trade Unions’ Administration Cadres, Ji’nan 250100, China
Keywords:
intelligent surveillance;  event detection;  occurrence of event;  visual attention model;  visual attention rhythm;  key frame extraction
CLC:
TP18；TN911.73
DOI:
-
Abstract:
Intelligent surveillance systems have been widely used in banks, supermarkets, buses, and other public places. Event detection in a surveillance video is a key technology for this field. In this paper, a visual attention shiftbased event detection algorithm was proposed for intelligent surveillance in which the dynamic and static visual attention regions were detected to obtain the visual saliency map. After that, the visual attention rhythm was derived from the visual saliency map temporally. According to the visual attention rhythm, the key frames were selected to label the occurrence of the events. Experimental results demonstrate that the proposed algorithm can label the occurrence of the events with the extracted key frames correctly, and that the event detection is performed in realtime.
References:
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Last Update: 2012-09-27

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