Abstract
We propose an approach to track moving objects (humans) using optical flow in surveillance videos in this paper. We combine object segmentation output with optical flow algorithm while tracking object. That is, the proposed algorithm uses the object segmentation results while calculating optical flow and optical flow is only calculated in silhouette regions of motion using Two Way ANOVA. We track silhouettes (possible human torso), since these are more robust to variations in lighting conditions. The experimental results have demonstrated that our approach achieved good performance and the operating speed is relatively lower than some of the other standard optical flow techniques. We test our approach on several video surveillance sequences, both in indoor and outdoor.
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