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