Multistage Analysis of Abnormal Human Behavior in Complex Scenes
Joint Authors
Cai, Lei
Luo, Peien
Zhou, Guangfu
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Effective abnormal human behavior analysis serves as a warning signal before emergencies.
However, most abnormal human behavior detections rely on manual monitoring at present.
This method is criticized for being subjective and lack of timeliness.
In response to the problems above, this paper proposes a multistage analysis method of abnormal human behavior in complex scenes.
This paper firstly differentiates the abnormal behavior roughly from a large monitoring area with similarity measurement applied to the social force model, and precise analysis is conducted thereafter.
The multistage analysis, based on the three-frame difference algorithm, is used for intrusion, left-behind baggage detection, and motion trajectory identification.
The experimental result demonstrates the superiority of the proposed method in UMV, CAVIAR, and datasets.
To demonstrate the adaptability and generalization ability of the proposed method, this paper selects the CVC and JAAD driving anomaly detection data sets to test the method.
Experimental results show that the proposed method is superior to the existing methods.
American Psychological Association (APA)
Cai, Lei& Luo, Peien& Zhou, Guangfu. 2019. Multistage Analysis of Abnormal Human Behavior in Complex Scenes. Journal of Sensors،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1187180
Modern Language Association (MLA)
Cai, Lei…[et al.]. Multistage Analysis of Abnormal Human Behavior in Complex Scenes. Journal of Sensors No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1187180
American Medical Association (AMA)
Cai, Lei& Luo, Peien& Zhou, Guangfu. Multistage Analysis of Abnormal Human Behavior in Complex Scenes. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1187180
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187180