Computer Science ›› 2006, Vol. 33 ›› Issue (6): 236-238.

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HOU Yun-Shu ,ZHANG Yan-Ning, ZHAO Rong Chun (College of Computer Science, Northwestern Polyiechnical University, Xi'an 710072)   

  • Online:2018-11-17 Published:2018-11-17

Abstract: A novel algorithm namely covariance weighted SVD based optical flow estimation is proposed in this paper, which achieves more robust and precise tracking result comparing to the traditional L-K tracker. Covariance weighted is used to transform the problem

Key words: Visual tracking, Optical flow estimation, Covariance weighted, SVD, Facial features tracking

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