A novel face and hands tracking in a complex background

Authors:
Sang Hwan Lee;Sang Min Yoon;Ji Hoon Jeong
Affiliations:
National Security Research Institute, Yuseong, Daejeon, Korea;Korea Institute of Science and Technology, Seongbuk-gu, Seoul, Korea;National Security Research Institute, Yuseong, Daejeon, Korea
Venue:
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Year:
2006

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Abstract

We present a novel face and hands tracking algorithm for solving problems of partial occlusion in complex backgrounds. Without background subtraction or training, we successfully extracted the features with incorporation of color and motion information to reject the static background objects that have similar skin color. Hybrid tracking algorithm based on MAWUPC algorithm and particle filter is robust to the multiple objects' movement and some kinds of distracters. This is the essential and necessary process of natural Human Computer Interaction, Video Surveillance and Monitoring.