DocumentCode :
3117978
Title :
Face Tracking Based on Fusion Skin Color Model and Optical Flow Algorithm
Author :
Zhao, Xiaogang ; Hui, Yanbo
Author_Institution :
Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
fYear :
2009
fDate :
28-29 Dec. 2009
Firstpage :
89
Lastpage :
92
Abstract :
A fusion algorithm based on skin color model and optical flow is proposed to detect and track faces. It uses skin color model to detect faces and adopts optical flow algorithm to estimate the continuity of the video frames and obtain the position of faces in the frames. Taking advantages of the algorithms, the proposed method, in some degrees, gives a solution to the effects of face rotation, partial occlusion, expression variation and illumination on face detecting and face tracking.
Keywords :
face recognition; image colour analysis; image fusion; image sequences; video signal processing; expression variation; face detection; face rotation; face tracking; fusion skin color model; optical flow algorithm; partial occlusion; video frames; Color; Educational institutions; Face detection; Humans; Image motion analysis; Information science; Layout; Motion estimation; Optical fiber networks; Skin; face detection; fusion algorithm; optical algorithm; skin color model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Networks and Information Systems, 2009. WNIS '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3901-0
Electronic_ISBN :
978-1-4244-5400-6
Type :
conf
DOI :
10.1109/WNIS.2009.29
Filename :
5381572
Link To Document :
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