Game-theoretical occlusion handling for multi-target visual tracking

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

20 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)2670-2684
Journal / PublicationPattern Recognition
Volume46
Issue number10
Online published6 Mar 2013
Publication statusPublished - Oct 2013

Abstract

Multi-target visual tracking is a challenge because of data association and mutual occlusion in the interacting targets. This paper presents a Gaussian mixture probability hypothesis density based multi-target visual tracking system with game-theoretical occlusion handling. Firstly, the spatial constraint based appearance model with other interacting targets' interferences is modeled. Then, a two-step occlusion reasoning algorithm is proposed. Finally, an n-person, non-zero-sum, non-cooperative game is constructed to handle the mutual occlusion problem. The individual targets within the occlusion region are regarded as the players in the constructed game to compete for the maximum utilities by using the certain strategies. A Nash Equilibrium of the game is the optimal estimation of the locations of the players within the occlusion region. Experiments on video sequences demonstrate the good performance of the proposed occlusion handling algorithm. © 2013 Elsevier Ltd. All rights reserved.

Research Area(s)

  • Appearance model, Game-theory, GM-PHD filter, Multi-target visual tracking, Occlusion handling

Citation Format(s)

Game-theoretical occlusion handling for multi-target visual tracking. / Zhou, Xiaolong; Li, Y.F.; He, Bingwei.
In: Pattern Recognition, Vol. 46, No. 10, 10.2013, p. 2670-2684.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review