Improved algorithm of tracking moving objects under occlusions

To better settle the problem of tracking objects under occlusions, an improved anti-occlusion tracking algorithm was proposed, based on the combination of motion prediction and adaptive multi-block template matching. The algorithm constituted the principle of detecting occlusions and the method of updating and matching multi-block templates. Kalman filter was applied to predict the object’s trajectory under occlusions. A template location rule based on the object’s velocity was adopted to re-track object after occlusion. Tracking experiments under various conditions of occlusion indicates that this algorithm succeeds to track rigid and non-rigid objects when heavily, even completely occluded, by static background. Moreover, the reliability and integrity of objects’ moving trajectories are guaranteed.