A graph-based, multi-resolution algorithm for tracking objects in presence of occlusions

Authors:
Donatello Conte;Pasquale Foggia;Jean-Michel Jolion;Mario Vento
Affiliations:
Dipartimento di Ingegneria dell'Informazione ed Ingegneria Elettrica, Universití di Salerno, Via Ponte don Melillo, I-84084 Fisciano (SA), Italy;Dipartimento di Informatica e Sistemistica, Universití di Napoli, Via Claudio 21, I-80125, Napoli, Italy;Lyon Research Center for Images and Information Systems, UMR CNRS 5205 Bat. J. Verne INSA Lyon 69621, Villeurbanne Cedex, France;Dipartimento di Ingegneria dell'Informazione ed Ingegneria Elettrica, Universití di Salerno, Via Ponte don Melillo, I-84084 Fisciano (SA), Italy
Venue:
Pattern Recognition
Year:
2006

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Abstract

One of the main difficult problem in video analysis is to track moving objects during a video sequence, especially in presence of occlusions. Unfortunately, almost all the different approaches work on a pixel-by-pixel basis, yielding them unusable in real-time situations as well as not much expressive at a semantic level of the video. We present in this paper a novel method of tracking objects through occlusions that exploits the wealth of information due to the spatial coherence between pixels, using a graph-based, multi-resolution representation of the moving regions. The experimental results show that the approach is promising.