STUDY ANALYSIS ON TRACKING MULTIPLE OBJECTS IN PRESENCE OF INTER OCCLUSION IN UNMANNED LC
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Advanced Computational Intelligence: An International Journal (ACII) 3 (3): 7 (July 2016)

The object tracking algorithm is used to tracking multiple objects in a video streams. This paper provides Mutual tracking algorithm which improve the estimation inaccuracy and the robustness of clutter environment when it uses Kalman Filter. using this algorithm to avoid the problem of id switch in continuing occlusions. First the algorithms apply the collision avoidance model to separate the nearby trajectories. Suppose occurring inter occlusion the aggregate model splits into several parts and use only visible parts perform tracking. The algorithm reinitializes the particles when the tracker is fully occluded. The experimental results using unmanned level crossing (LC) exhibit the feasibility of our proposal. In addition, comparison with Kalman filter trackers has also been performed.
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