An effective shape-texture weighted algorithm for multi-view face tracking in videos

Wing Pong Choi, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)


In this paper, an effective face tracking algorithm based on the combination of shape and texture information is proposed. The edge map is used to represent the shape of a face, while the texture information is characterized by the local binary pattern (LBP). As the face patterns to be tracked in consecutive frames are highly correlated, an accurate tracking can be achieved by searching for the shortest weighted feature distance between the face pattern and the possible face candidates. The weights of the shape and texture can be adapted for real-time tracking. Both the edge map and the LBP can, to a certain extent, alleviate the illumination effect. Moreover, skin-colorlike objects will not be falsely tracked as a face. Our proposed algorithm complements the AdaBoost face detection algorithm to form a multi-view face-tracking system. Experimental results show that our algorithm can track faces in varying poses (tilted or rotated) in real time.
Original languageEnglish
Title of host publicationProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Number of pages5
Publication statusPublished - 26 Sep 2008
Event1st International Congress on Image and Signal Processing, CISP 2008 - Sanya, Hainan, China
Duration: 27 May 200830 May 2008
Conference number: 1


Conference1st International Congress on Image and Signal Processing, CISP 2008
CitySanya, Hainan

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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