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Detection-by-Classification from Multiple Views
In order to avoid performing background subtraction, which can be very
sensitive to image quality and misses discriminative capability, we
perform people detection in the image plan directly.
Overview of our detection-by-classification method.
We train a decision tree to correctly classify windows containing a
pedestrian. As illustrated in the figure above, we then apply the
classifier in each camera view independently at every possible
position of the ground plane. We thus obtain as many score maps as
there are cameras, that we then merge using our 3D knowledge of the
scene, as well as the model of the classifier answer. We finally
obtain an occupancy map, similar to the one derived with our people detection algorithm, but without the need of
using background subtraction.
References
Contact
J. Berclaz [jerome.berclaz@epfl.ch],
F. Fleuret [francois.fleuret@idiap.ch]
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