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 [BibTeX] [Marc21]
Tracking Multiple Objects under Global Appearance Constraints
Type of publication: Conference paper
Citation: BenShitrit_ICCV_2011
Publication status: Accepted
Booktitle: Proceedings of the IEEE International Conference on Computer Vision
Year: 2011
Abstract: In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exploit image appearance clues to prevent identity switches. Our method is effective even when such clues are only available at distant time intervals. This is unlike many current approaches that depend on appearance being exploitable from frame to frame. We validate our approach on three multi-camera sport and pedestrian datasets that contain long and complex sequences and demonstrate better performance than state-of-the-art algorithms.
Projects Idiap
Authors Ben Shitrit, Horesh
Berclaz, Jerome
Fleuret, Francois
Fua, Pascal
Added by: [UNK]
Total mark: 0