Multiple Object Tracking in Multiresolution Image Sequences
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Consistent Interpretation of Image Sequences to Improve Object Models on the Fly
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Surveillance and human-computer interaction applications of self-growing models
Applied Soft Computing
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This paper presents a method to track multiple nonrigid objects in video sequences. First, we present related works on tracking methods. Second, we describe our proposed approach. We use the notion of target to represent the perception of object motion. To handle the particularities of nonrigid objects we define a target as an individually tracked moving region or as a group of moving regions globally tracked. Then we explain how to compute the trajectory of a target and how to compute the correspondences between known targets and moving regions newly detected. In the case of an ambiguous correspondence we define a compound target to freeze the associations between targets and moving regions until a more accurate information is available. Finally we provide an example to illustrate the way we have implemented the proposed tracking method for video-surveillance applications