Robust Head Tracking Based on Multiple Cues Fusion in the Kernel-Bayesian Framework - 源码 - 源码 - 免费下载

Robust Head Tracking Based on Multiple Cues Fusion in the Kernel-Bayesian Framework

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资源说明：This paper presents a robust head tracking algorithm based on multiple cues fusion in a kernel-Bayesian framework. In this algorithm, the object to be tracked is characterized using a spatial-constraint mixture of the Gaussians-based appearance model and a multichannel chamfer matching-based shape model. These two models complement each other and their combination is discriminative in distinguishing the object from the background. A selective updating technique for the appearance model is employ

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