Head Detection and Tracking for an Intelligent Room

We present a novel feature extraction method, whic h employs a histogram of transition feature , as an input to a SVM classifier. This feature relies on foreground extraction. We also evaluate some foreground extra ction method . To evaluate the performance of this feature, we use it for head detection. Then, by applying a combinatio n of the Harris corner detector and Lucas-Kanade tracker and motion pattern, we track the head position. The performance of the proposed method is experimentally shown.

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