Multi-cue Based Visual Tracking in Clutter Scenes with Occlusions

Authors:
Jie Yu;Dirk Farin;Hartmut S. Loos
Affiliations:
-;-;-
Venue:
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Year:
2009

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Abstract

Object tracking is important for video analysis applications. However, tracking through occlusions is a difficult task due to significant appearance changes of the objects.Approaches based on either global features or one kind of local features can not solve the problem completely. In this paper, a multi-cue based tracking approach is introduced. It combines a corner tracking with a color and a shape model to resolve the object tracking problem through occlusions for most scenes (indoor and outdoor).To obtain anobjective evaluation of the proposed method, a set ofdetection and tracking measures are used to perform a quantitative analysis based on a large sequence dataset with ground-truth annotation. The experimental results show that the proposed approach works robustly under varying conditions.