A sequential Monte-Carlo and DSmT based approach for conflict handling in case of multiple targets tracking

Authors:
Yi Sun;Layachi Bentabet
Affiliations:
Department of Computer Science, Bishop's University;Department of Computer Science, Bishop's University
Venue:
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Year:
2007

Citing 3
Cited 2

Algorithmic Fusion for More Robust Feature Tracking

International Journal of Computer Vision
Moving object tracking under varying illumination conditions

Pattern Recognition Letters
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking

IEEE Transactions on Signal Processing

Multi-camera people tracking using evidential filters

International Journal of Approximate Reasoning
Hierarchical and conditional combination of belief functions induced by visual tracking

International Journal of Approximate Reasoning

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose an efficient and robust multiple targets tracking method based on particle filtering and Dezert-Smarandache theory. A model of cue combination is designed with plausible and paradoxical reasoning. The proposed model can resolve the conflict and paradoxes that arise between measured cues due to the particle or total occlusion. Experimental results demonstrate the efficiency and accuracy of the model in case of tracking with multiple cues.