Object Visual Tracking Using Window-Matching Techniques and Kalman Filtering
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Abstract
This work presented an algorithm for tracking objects from a sequence of images. The algorithm is based on a window matching approach that uses as a similarity measurement the sum of the square differences (SSD). In order to improve the tracking performance under