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An Improved Particle Filter Tracking System Based on Colour and Moving Edge Information


Affiliations
1 Graduate Institute of Computer Science, National Hsinchu University of Education, Taiwan, Province of China
2 Graduate Institute of e-Learning Technology, National Hsinchu University of Education, Taiwan, Province of China
3 Industrial Technology Research Institute, Taiwan, Province of China
 

A colour-based particle filter can achieve the goal of effective target tracking, but it has some drawbacks when applied in the situations such as: the target and its background with similar colours, occlusion in complex backgrounds, and deformation of the target. To deal with these problems, an improved particle filter tracking system based on colour and moving-edge information is proposed in this study to provide more accurate results in long-term tracking. In this system, the moving-edge information is used to ensure that the target can be enclosed by the bounding box when encountering the problems mentioned above to maintain the correctness of the target model. Using 100 targets in 10 video clips captured indoor and outdoor as the test data, the experimental results show that the proposed system can track the targets effectively to achieve an accuracy rate of 94.6%, higher than that of the colour-based particle filter tracking system proposed by Nummiaro et al. (78.3%) [10]. For the case of occlusion, the former can also achieve an accuracy rate of 91.8%, much higher than that of the latter (67.6%). The experimental results reveal that using the target's moving-edge information can enhance the accuracy and robustness of a particle filter tracking system.

Keywords

Particle Filter, Computer Vision, Target Tracking, Moving Edges, Robustness.
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  • An Improved Particle Filter Tracking System Based on Colour and Moving Edge Information

Abstract Views: 301  |  PDF Views: 159

Authors

Chao-Ju Chen
Graduate Institute of Computer Science, National Hsinchu University of Education, Taiwan, Province of China
Wernhuar Tarng
Graduate Institute of e-Learning Technology, National Hsinchu University of Education, Taiwan, Province of China
Kuo-Hua Lo
Industrial Technology Research Institute, Taiwan, Province of China

Abstract


A colour-based particle filter can achieve the goal of effective target tracking, but it has some drawbacks when applied in the situations such as: the target and its background with similar colours, occlusion in complex backgrounds, and deformation of the target. To deal with these problems, an improved particle filter tracking system based on colour and moving-edge information is proposed in this study to provide more accurate results in long-term tracking. In this system, the moving-edge information is used to ensure that the target can be enclosed by the bounding box when encountering the problems mentioned above to maintain the correctness of the target model. Using 100 targets in 10 video clips captured indoor and outdoor as the test data, the experimental results show that the proposed system can track the targets effectively to achieve an accuracy rate of 94.6%, higher than that of the colour-based particle filter tracking system proposed by Nummiaro et al. (78.3%) [10]. For the case of occlusion, the former can also achieve an accuracy rate of 91.8%, much higher than that of the latter (67.6%). The experimental results reveal that using the target's moving-edge information can enhance the accuracy and robustness of a particle filter tracking system.

Keywords


Particle Filter, Computer Vision, Target Tracking, Moving Edges, Robustness.