Pathnodes Integration of Standalone Particle Filters for People Tracking on Distributed Surveillance Systems

Authors:
Roberto Vezzani;Davide Baltieri;Rita Cucchiara
Affiliations:
Dipartimento di Ingegneria dell'Informazione, University of Modena and Reggio Emilia, Modena, Italy 41100;Dipartimento di Ingegneria dell'Informazione, University of Modena and Reggio Emilia, Modena, Italy 41100;Dipartimento di Ingegneria dell'Informazione, University of Modena and Reggio Emilia, Modena, Italy 41100
Venue:
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Year:
2009

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Abstract

In this paper, we present a new approach to object tracking based on batteries of particle filter working in multicamera systems with non overlapped fields of view. In each view the moving objects are tracked with independent particle filters; each filter exploits a likelihood function based on both color and motion information. The consistent labeling of people exiting from a camera field of view and entering in a neighbor one is obtained sharing particles information for the initialization of new filtering trackers. The information exchange algorithm is based on path-nodes, which are a graph-based scene representation usually adopted in computer graphics. The approach has been tested even in case of simultaneous transitions, occlusions, and groups of people. Promising results have been obtained and here presented using a real setup of non overlapped cameras.