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

Civil Engineering

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