Advanced Computational Intelligence: An International Journal (ACII)

ISSN : 2454 - 3934

http://airccse.org/journal/acii/index.html

A.RISVIN1, S.V.ANANDHI2,P.SAHANA3 

 Department of Computer Science and Engineering, Dr.Sivanthi Aditanar College of Engineering, Tiruchendur.                                                                      

Abstract

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.

Keywords

Mutual tracking, collision avoidance model, inter occlusion

pdf link --https://aircconline.com/acii/V3N3/3316acii05.pdf



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