Detection and Recognition of Abnormal Running Behavior in Surveillance Video
Joint Authors
Zhu, Ying-Ying
Zhu, Yan-Yan
Zhen-Kun, Wen
Huang, Qiang
Chen, Wen-Sheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-20
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Abnormal running behavior frequently happen in robbery cases and other criminal cases.
In order to identity these abnormal behaviors a method to detect and recognize abnormal running behavior, is presented based on spatiotemporal parameters.
Meanwhile, to obtain more accurate spatiotemporal parameters and improve the real-time performance of the algorithm, a multitarget tracking algorithm, based on the intersection area among the minimum enclosing rectangle of the moving objects, is presented.
The algorithm can judge and exclude effectively the intersection of multitarget and the interference, which makes the tracking algorithm more accurate and of better robustness.
Experimental results show that the combination of these two algorithms can detect and recognize effectively the abnormal running behavior in surveillance videos.
American Psychological Association (APA)
Zhu, Ying-Ying& Zhu, Yan-Yan& Zhen-Kun, Wen& Chen, Wen-Sheng& Huang, Qiang. 2012. Detection and Recognition of Abnormal Running Behavior in Surveillance Video. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1029527
Modern Language Association (MLA)
Zhu, Ying-Ying…[et al.]. Detection and Recognition of Abnormal Running Behavior in Surveillance Video. Mathematical Problems in Engineering No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-1029527
American Medical Association (AMA)
Zhu, Ying-Ying& Zhu, Yan-Yan& Zhen-Kun, Wen& Chen, Wen-Sheng& Huang, Qiang. Detection and Recognition of Abnormal Running Behavior in Surveillance Video. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1029527
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029527