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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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Abstract

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)
Authors :
NameEmailORCID
Gilbert, AndrewA.Gilbert@surrey.ac.uk
Bowden, RichardR.Bowden@surrey.ac.uk
Date : 1 January 2007
Copyright Disclaimer : Copyright Springer-Verlag 2007
Contributors :
ContributionNameEmailORCID
http://www.loc.gov/loc.terms/relators/EDTElgammal, A
http://www.loc.gov/loc.terms/relators/EDTRosenhahn, B
http://www.loc.gov/loc.terms/relators/EDTKlette, R
http://www.loc.gov/loc.terms/relators/PBLSPRINGER-VERLAG 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 : 07 Jun 2018 09:12
URI: http://epubs.surrey.ac.uk/id/eprint/531482

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