DocumentCode :
3181641
Title :
Automatic aggression detection inside trains
Author :
Yang, Zhenke ; Rothkrantz, Leon J M
Author_Institution :
Sensorsystemen, Netherlands Defence Acad., Den Helder, Netherlands
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
2364
Lastpage :
2372
Abstract :
This paper presents work addressing the challenges of video analysis for automatic detection of aggression in a train. Using data from surveillance cameras, the system assists human operators in their work. It is unobtrusive and respects the privacy of passengers. We used existing algorithms to recognize and classify human behavior. While evaluating the algorithms we paid special attention to their ability to cope with environment specific issues, such as varying lighting conditions and (self)occlusions. A passenger behavior model was developed based on many hours of observing and studying professional operators as they analyze and respond to surveillance data. Experiments were conducted in a real train to evaluate the detection system.
Keywords :
behavioural sciences; emotion recognition; railway safety; video surveillance; automatic aggression detection; detection system; human behavior classification; human behavior recognition; human operators; lighting conditions; passenger behavior model; passenger privacy; selfocclusions; surveillance cameras; trains; video analysis; Cameras; Face; Fires; aggression; rule-based; surveillance; train;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5641960
Filename :
5641960
Link To Document :
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