POM: Probabilistic Occupancy Map (Multi-Camera People Tracking)
Computer Vision Central - Posted on December 27, 2011 at 11:40 pm.
The Probabilistic Occupancy Map is a procedure which estimates the marginal probabilities of presence of individuals at every location in an area of interest under a simple appearance model, given binary images corresponding to the result of a background-subtraction from different viewpoints.
The appearance model is parametrized by a family of rectangles which approximate the silhouettes of individuals standing at every location of interest, from every point of view.
For more information about the POM algorithm, please check the section V and appendix A of:
|F. Fleuret, J. Berclaz, R. Lengagne and P. Fua, Multi-Camera People Tracking with a Probabilistic Occupancy Map, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, Nr. 2, pp. 267 - 282, February 2008.|
This distributed version of the software is slightly slower than the one described in the article, for which many values such as the image size were hard-coded in the source to let the compiler optimize the code.
This source code is available under the terms of the version 3 of the GNU General Public License as published by the Free Software Foundation. In short: If you distribute a software that uses POM, you have to distribute it under GPL version 3, hence with the source code. Another option is to contact us to purchase a commercial license.
Please mail firstname.lastname@example.org for bug reports, comments and questions.
Unix archive: pom_1.1.tar.gz