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Multi person tracking within crowded scenes

Gilbert, Andrew and Bowden, Richard (2007) Multi person tracking within crowded scenes In: 2nd Workshop on Human Motion Understanding, Modeling, Capture and Animation, 20 October 2007, Rio de Janeiro, BRAZIL.

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This paper presents a solution to the problem of tracking people within crowded scenes. The aim is to maintain individual object identity through a crowded scene which contains complex interactions and heavy occlusions of people. Our approach uses the strengths of two separate methods; a global object detector and a localised frame by frame tracker. A temporal relationship model of torso detections built during low activity period, is used to further disambiguate during periods of high activity. A single camera with no calibration and no environmental information is used. Results are compared to a standard tracking method and groundtruth. Two video sequences containing interactions, overlaps and occlusions between people are used to demonstrate our approach. The results show that our technique performs better that a standard tracking method and can cope with challenging occlusions and crowd interactions.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Surrey research (other units)
Authors :
Date : 1 January 2007
Copyright Disclaimer : Copyright Springer-Verlag 2007
Contributors :
ContributionNameEmailORCID, A, B, R BERLIN,
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Theory & Methods, Imaging Science & Photographic Technology, Computer Science
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:42
Last Modified : 23 Jan 2020 12:46

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