Body Language Based Individual Identification in Video Using Gait and Actions

Authors:
Y. Pratheepan;P. H. Torr;J V Condell;G. Prasad
Affiliations:
School of Computing and Intelligent Systems, Faculty of Computing and Engineering, University of Ulster at Magee, Londonderry,;Department of Computing, Oxford Brookes University, Wheatley, Oxford, UK;School of Computing and Intelligent Systems, Faculty of Computing and Engineering, University of Ulster at Magee, Londonderry,;School of Computing and Intelligent Systems, Faculty of Computing and Engineering, University of Ulster at Magee, Londonderry,
Venue:
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Year:
2008

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Abstract

In intelligent surveillance systems, recognition of humans and their activities is generally the most important task. Two forms of human recognition can be useful: the determination that an object is from the class of humans (which is called human detection), and determination that an object is a particular individual from this class (this is called individual recognition). This paper focuses on the latter problem. For individual recognition, this report considers two different categories. First, individual recognition using "style of walk" i.e. gait and second "style of doing similar actions" in video sequences. The "style of walk" and "style of actions" are proposed as a cue to discriminate between two individuals. The "style of walk" and "style of actions" for each individual is called their "body language" information.