Gradient and color histogram fusing based head-tracking
Libiao Zhang · Journal of Changchun Post and Telecommunication Institute · 2004
This method of head-tracking uses ellipses to simulate human heads, the proportion of whose major axis and minor axis is fixed to 1.4, and it fuses intensity gradient model and color histogram model to track human heads, and the method of calculating the similarity between the template and the image to be detected using the two models is also given. Because the two models are complement to each other as to the element set concerned and the information used, this method improves the robustness of the system. Motion prediction taking acceleration into account could effectively reduce the detection area and it consequently increases the tracking speed. To eliminate the influence of lightness changing, it puts forward an algorithm of adaptive lightness compensation to compensate the image to be detected in faint lighting conditions. Experiments show that it could work well in complex background and even in bad lighting conditions, and it could track arbitrary movement of human heads, and the tracking speed could be above 20 frames per second.