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A Particle Filtering and DSmT Based Approach for Conflict Resolving in case of Target Tracking with Multiple Cues

Journal of Mathematical Imaging and Vision volume 36, pages 159–167 (2010)Cite this article

Abstract

In this paper, we propose an efficient and robust method for multiple targets tracking in cluttered scenes using multiple cues. Our approach combines the use of Monte Carlo sequential filtering for tracking and Dezert-Smarandache theory (DSmT) to integrate the information provided by the different cues. The use of DSmT provides the necessary framework to quantify and overcome the conflict that might appear between the cues due to the occlusion. Our tracking approach is tested with color and location cues on a cluttered scene where multiple targets are involved in partial or total occlusion.

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Authors and Affiliations

  1. Department of Computer Science, Bishop’s University, 2600 College Street, Sherbrooke, QC, J1M 1Z7, Canada

    Yi Sun & Layachi Bentabet

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  1. Yi Sun
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  2. Layachi Bentabet
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Correspondence to Layachi Bentabet.

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Sun, Y., Bentabet, L. A Particle Filtering and DSmT Based Approach for Conflict Resolving in case of Target Tracking with Multiple Cues. J Math Imaging Vis 36, 159–167 (2010). https://doi.org/10.1007/s10851-009-0178-6

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  • DOI: https://doi.org/10.1007/s10851-009-0178-6

  • Multiple targets tracking
  • Sequential Monte-Carlo
  • Dezert-Smarandache theory
  • Cue combination