一种改进的窄带算法在彩色序列图像人脸跟踪中的应用

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Abstract A novel method based on geometric active contour model for face tracking is presented. After performing the chromatic histogram backprojection, facial region appears as a homogeneous region in the backprojected image. An improved narrow band algorithm is developed for implementing the curve evolution. The propagating curve is represented as a set of nodes. The update of the level set function is only calculated on these nodes, while the evolution on other grid points is performed using the interpolation and lookup table method. The motion direction as well as the time step of each node is different with respect to the local image properties. The experimental results indicate the proposed algorithm is fast and accurate enough for tracking faces in color image sequences.

Key words： Face tracking Geometric active contour Level set method Narrow band algorithm Histogram backprojection

Received: 28 November 2003

PACS:

TP391

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	Chen Wei-gang
	Qi Fei-hu

Cite this article:

Chen Wei-gang,Qi Fei-hu. Tracking of the Facial Region in Color Video Sequences Using an Improved Narrow Band Algorithm[J]. , 2005, 27(4): 540-543 .

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http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y2005/V27/I4/540