Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
International Journal of Computer Vision
Robot Vision
Color-Based Probabilistic Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Real Time Face and Object Tracking as a Component of a Perceptual User Interface
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
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This paper presents a visual tracking algorithm that is based on CamShift. Both the face and upper body are utilized simultaneously to perform tracking. They are first tracked independently by applying two separate CamShifts which continue tracking from the locations determined in the last time step and use only color probability images. Next, the candidate locations are subjected to CamShift which operates on distributions reflecting additionally geometrical relations between the face and the body. The aim of the CamShift-based searching in the joint color-spatial space is to find the mode. Experimental tracking results on meeting video recordings are presented. They demonstrate that this algorithm is superior over traditional CamShift. Furthermore, it is very simple and computationally fast.