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Combined Motion and Appearance Models for Robust Object Tracking in Real-Time

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4 Author(s)
Noceti, N. ; DISI, Univ. Ddegli Studi di Genova, Genova, Italy ; Destrero, A. ; Lovato, A. ; Odone, F.

This paper proposes a tracking architecture that finds a trade-off between accuracy and efficiency, via a combined solution of motion and appearance information. We explore the use of color features into a tracking pipeline based on Kalman filtering. The devised architecture is made of simple modules, combined to reach a robust final result, while keeping the computation cost low (we perform 20 fps). The method has been evaluated on three benchmark datasets and is currently under use on real video-surveillance systems, reporting very good tracking results.

Published in:

Advanced Video and Signal Based Surveillance, 2009. AVSS '09. Sixth IEEE International Conference on

Date of Conference:

2-4 Sept. 2009