eISSN:2278-5299

International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

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ENFORCED INDIVIDUALIZATION OF HUMAN CLUSTER IN TRACKING BY MIXTURE OF GAUSSIAN

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.3 Issue 2, pp 197-200,Year 2014

ENFORCED INDIVIDUALIZATION OF HUMAN CLUSTER IN TRACKING BY MIXTURE OF GAUSSIAN

Youngsung Soh, Yongsuk Hae, Hadi Ashraf, Mudasar Qadir, Intaek Kim

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Received : 24 April 2014; Accepted : 27 April 2014 ; Published : 30 April 2014

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Article No. 10303
Abstract

Vision based surveillance system plays an important role in security field. Automatic tracking of objects such as human and vehicle is vital in such a system. In human tracking, it frequently happens that moving people get merged and demerged. When merging occurs, the tracking system should know what and how many humans are in the cluster. When cluster gets demerged into individuals, the tracking system should be able to differentiate among them to cope with correct human following. It will be useful in tracking if we can enforce the human cluster, where multiple humans adhere, to be broken into individual human. In this paper, we propose a novel method for individualization of human cluster in tracking. The method consists of three steps. They are edge finding and edge projection, mixture of Gaussian fitting, and cutting point decision. We applied the method to various scenarios of human cluster and obtained good results.

Key Words   
Gaussian, human tracking, cluster tracking, tracking
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References
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To cite this article

Youngsung Soh, Yongsuk Hae, Hadi Ashraf, Mudasar Qadir, Intaek Kim , " Enforced Individualization Of Human Cluster In Tracking By Mixture Of Gaussian ", International Journal of Latest Research in Science and Technology . Vol. 3, Issue 2, pp 197-200 , 2014


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