Abstract
This paper attempts to combine the image features of shape, movement and color, taking the oval as the shape model of the target to immediately catch the edge of the target, using the feature light stream technology to obtain the movement information of the target. The color information can be obtained using the color histogram features of the target and mean shift algorithm. In the tracking of the color, SDA color spatial selection algorithm is introduced to improve the target and background differentiation. Then, the above information would be integrated through particle filtering technology. The self-adapting integration technology is used, and each image features weight would be decided according to its validity, thus, a quick and robust facial tracking algorithm is gained.
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