DocumentCode :
3500018
Title :
A realtime shrug detector
Author :
Ning, Huazhong ; Han, Tony X. ; Hu, Yuxiao ; Zhang, Zhenqiu ; Fu, Yun ; Huang, Thomas S.
Author_Institution :
Inst. of Beckman, Illinois Univ., Urbana, IL
fYear :
2006
fDate :
2-6 April 2006
Firstpage :
505
Lastpage :
510
Abstract :
A realtime system for shrug detection is discussed in this paper. The system is automatically initialized by a face detector based on Ada-boost [P. Viola and M. Jones, May 2004]. After frontal face is localized by the face detector, shoulder position is detected by fitting a parabola to the nearby horizontal edges using weighted Hough transform [K. Sugawara, 1997]. Since shrug is an action which is defined not only by the distance between face and shoulder but also the relative temporal-spatial changing between them, we propose a parameterizing scheme using two different parabolas, named as "stable parabola" (SP) and "transient parabola" (TP) to characterize the action shrug. Stable parabola represents the mean shoulder position over a long time duration, while transient parabola represents the mean shoulder position of a very short time duration. By using this scheme (only 6 dimensions), we avoid the high dimensional representation of the temporal process-shrug, and therefore make the realtime implementation possible. The shrug detector is then trained in the parameter space using Fisher discriminant analysis (FDA). The experiments show that the proposed shrug detector is able to not only detect the shrug action correctly and efficiently (in realtime), but also tolerate the large in-class variation caused by different subject, different action speed, illumination, partial occlusion, and background clutter. So the proposed realtime shrug detector is promising in video analysis under an uncontrolled environment
Keywords :
Hough transforms; computer vision; emotion recognition; face recognition; video signal processing; Fisher discriminant analysis; Hough transform; face detector; occlusion; realtime shrug detector; shoulder position; shrug detection; stable parabola; transient parabola; video analysis; weighted Hough transform; Application software; Computer vision; Detectors; Eyes; Face detection; Humans; Lighting; Magnetic heads; Psychology; Video surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on
Conference_Location :
Southampton
Print_ISBN :
0-7695-2503-2
Type :
conf
DOI :
10.1109/FGR.2006.15
Filename :
1613069
Link To Document :
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