DocumentCode :
3594840
Title :
VIGOUR: a system for tracking and recognition of multiple people and their activities
Author :
Sherrah, Jamie ; Gong, Shaogang
Author_Institution :
Dept. of Comput. Sci., Queen Mary & Westfield Coll., London, UK
Volume :
1
fYear :
2000
fDate :
6/22/1905 12:00:00 AM
Firstpage :
179
Abstract :
Tracking multiple people and their behaviours is a fundamental task for visually mediated interaction. We present VIGOUR, a platform for simultaneously tracking of multiple people and recognition of their behaviours for high-level interpretation. Through perceptual integration, different types of visual information are fused to combine the benefits of different techniques. Robust low-level visual cues such as skin colour and motion are used to focus attention and facilitate real-time tracking. VIGOUR tracks behaviours using gestures and head pose to produce a high-level behaviour representation for subsequent interpretation. The system is able to track three people and recognise their gestures simultaneously in real time
Keywords :
gesture recognition; image recognition; real-time systems; tracking; VIGOUR; gestures; head pose; high-level interpretation; motion; person recognition; person tracking; real-time tracking; robust low-level visual cues; skin colour; visual information; visually mediated interaction; Biological system modeling; Face detection; Humans; Machine vision; Magnetic heads; Robustness; Skin; Support vector machine classification; Support vector machines; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.905299
Filename :
905299
Link To Document :
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