%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Yao_ECCV-2_2008,
         author = {Yao, Jian and Odobez, Jean-Marc},
       projects = {Idiap, CARETAKER},
          month = {10},
          title = {Multi-camera multi-person 3d space tracking with mcmc in surveillance
scenarios},
      booktitle = {European Conference on Computer Vision, workshop on Multi
  Camera and Multi-modal Sensor Fusion Algorithms and Applications
  (ECCV-M2SFA2)},
           year = {2008},
       location = {Marseille},
       abstract = {We present an algorithm for the tracking of a variable number of 3D persons in a multi-camera
setting with partial field-of-view overlap.
The multi-object tracking  problem  is posed in a Bayesian framework
and relies on a joint multi-object state space with individual object
states defined in the 3D world.  
The Reversible Jump Markov Chain Monte Carlo (RJ-MCMC) method is used to
efficiently search the state-space and recursively
estimate the multi-object configuration.
The paper presents several contributions:
i) the use and extension of several key features  for efficient and reliable
tracking
(e.g.
 the use of the MCMC framework for multiple camera MOT;
the use of powerful human detector outputs in the
MCMC proposals to automatically initialize/update object
tracks);
ii) the definition of appropriate prior on the object state, to take into account
the effects of 2D image measurement uncertainties on the 3D object state estimation
due to depth effects;
iii) a simple rectification method aligning
people 3D standing direction with 2D image vertical axis, allowing
to obtain better object measurements relying on rectangular boxes
and integral images;
iv) representing objects  with multiple reference color histograms,
to account for variability in color
measurement due to changes in pose, lighting, and importantly multiple
camera view points.
Experimental results on challenging real-world tracking sequences and
situations demonstrate the efficiency of
our approach.},
            pdf = {https://publications.idiap.ch/attachments/papers/2008/Yao_ECCV-2_2008.pdf}
}