%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Yao_EUSIPCO_2008,
                      author = {Yao, Jian and Odobez, Jean-Marc},
                    projects = {Idiap, CARETAKER},
                       month = {8},
                       title = {Multi-camera 3d person tracking with particle filter in a
  surveillance environment},
                   booktitle = {16th European Signal processing Conference (EUSIPCO)},
                        year = {2008},
                    abstract = {In this work we present and evaluate a novel 3D approach to track 
single people in surveillance scenarios, using multiple 
cameras.
The problem is formulated in a Bayesian filtering framework,
and solved through sampling approximations (i.e. using 
a particle filter).
Rather than relying on a 2D state to represent people,
as is most commonly done, we directly exploit 3D knowledge 
by tracking people in the  3D world.
A novel dynamical model is presented that accurately 
models the coupling between people orientation and 
motion direction.
In addition, people are  represented
by three 3D elliptic cylinders which allow to 
introduce a spatial color layout useful to discriminate
the tracked person from potential distractors.
Thanks to the particle filter approach, 
integrating background subtraction and color 
observations from multiple cameras is straightforward.
Alltogether, the approach is quite robust to occlusion and 
large  variations in people appearence, even 
when using a single camera, as demonstrated by  numerical 
performance evaluation on real and challenging 
data from an underground station.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2008/Yao_EUSIPCO_2008.pdf}
}