%Aigaion2 BibTeX export from Idiap Publications
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@ARTICLE{Fleuret_TPAMI_2008,
         author = {Fleuret, Francois and Berclaz, Jerome and Lengagne, Richard and Fua, Pascal},
       projects = {Idiap, IM2},
          month = {2},
          title = {Multi-Camera People Tracking with a Probabilistic Occupancy Map},
        journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
         volume = {30},
         number = {2},
           year = {2008},
       abstract = {Given two to four synchronized video streams taken at eye level and from different angles, we show
that we can effectively combine a generative model with dynamic programming to accurately follow
up to six individuals across thousands of frames in spite of significant occlusions and lighting changes.
In addition, we also derive metrically accurate trajectories for each one of them.

Our contribution is twofold. First, we demonstrate that our generative model can effectively handle
occlusions in each time frame independently, even when the only data available comes from the output
of a simple background subtraction algorithm and when the number of individuals is unknown a priori.
Second, we show that multi-person tracking can be reliably achieved by processing individual trajectories
separately over long sequences, provided that a reasonable heuristic is used to rank these individuals
and avoid confusing them with one another.}
}