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In this paper, a new face detection algorithm based on fractal theory and complexion model is proposed. On the basis of the traditional face detection, the new algorithm estimated the fractal dimension of face area to exclude the non-face area and extract the face area fast and accurately. Furthermore, its calculation is simple and it can realize multi-angle detection in the complex background. As...
Object tracking based on color feature often fails in a complex background. To deal with this problem, a particle filtering object tracking approach is proposed in this paper based on local binary pattern and color feature. Color histogram is the global description of targets in color image, while local binary pattern texture contains information of neighbor region texture in gray image. These two...
Face detection is a prerequisite step for face recognition and face analysis related applications. Aim of the face detection system is to identify and locate all faces regardless of their positions, scale, orientation, lighting conditions, expressions, etc. The faces which get detected under such conditions will affect the face recognition rate. Various approaches have been employed to detect faces...
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