Research of the head detection algorithm based on several regional growth and feature extraction

For more spacious place where the human bodies are sparse and scattered, it is feasible and convenient to use algorithm of frames subtraction or background elimination which can extract the human bodies. But for the places where the human bodies are intensive such as on the buses, it is difficult to segment the bodies using this algorithm. Since the heads are more scattered than the bodies, an algorithm based on several regional growths and feature extraction is studied to detect the heads in this paper. If the clothes gray is similar to the head gray, morphologic operation is used to extract the head again. Also this paper shows the flow of the algorithm in detail. Many images taken by the bus camera were used for the experiment. The result shows that the bus passengers could be detected exactly which verified the effectiveness of the algorithm.