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Conference papers
Nonparametric data association for particle filter based multi-object tracking : application to multi-pedestrian tracking
Abstract : This article deals with the following issue: how to track a varying number of pedestrians through observations by means of a 4-plane laser sensor. In order to answer to the multiple target tracking problem and more specifically pedestrian tracking, we propose in this paper a statistical approach using a particle filter based on nonparametric data association methods. This approach allows to go beyond the conventional Gaussian assumption and to use as well as possible each particle during track/observation association by means of either a "Parzen Window" kernel method or a K-nearest neighbor algorithm. Simulated and experimental results show the relevance of this method compared to the usual Gaussian window methods.
https://hal.archives-ouvertes.fr/hal-00344115
Contributor : Paul Checchin <>
Submitted on : Wednesday, December 3, 2008 - 5:09:24 PM
Last modification on : Wednesday, April 21, 2021 - 8:34:02 AM
Contributor : Paul Checchin <>
Submitted on : Wednesday, December 3, 2008 - 5:09:24 PM
Last modification on : Wednesday, April 21, 2021 - 8:34:02 AM