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@INPROCEEDINGS{BenShitrit_ICCV_2011,
         author = {Ben Shitrit, Horesh and Berclaz, Jerome and Fleuret, Francois and Fua, Pascal},
       projects = {Idiap},
          title = {Tracking Multiple Objects under Global Appearance Constraints},
      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.}
}