Abstract
In this chapter, we present a novel tracking method with a multi-resolution approach and a dual model check to track a non-rigid object in an uncalibrated static multi-camera environment. It is based on particle filter methods using color features. The major contributions of the method are: multi-resolution tracking to handle strong and non-biased object motion by short term particle filters; stratified model consistency check by Kolmogorov-Smirnov test and object trajectory based view corresponding deformation in multi-camera environment.
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Acknowledgments
This work has been supported by a joint Ph.D grant of Aquitaine Region from CNRS (Centre National de Recherche Scientifique).
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Zhou, Y., Benois-Pineau, J., Nicolas, H. (2013). A Multi-Resolution Particle Filter Tracking with a Dual Consistency Check for Model Update in a Multi-Camera Environment. In: Adami, N., Cavallaro, A., Leonardi, R., Migliorati, P. (eds) Analysis, Retrieval and Delivery of Multimedia Content. Lecture Notes in Electrical Engineering, vol 158. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3831-1_5
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DOI: https://doi.org/10.1007/978-1-4614-3831-1_5
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