Abstract
In order to improve the stability and robustness in video tracking based on particle filter. We proposed Niche Particle Swarm Algorithm-Particle Filter (NPSA-PF) which applies Niche Particle Swarm Algorithm to the re-sampling stage in particle filter. The ability of Niche Particle Swarm Algorithm which improves the particles' local search ability and weakens the information sharing between particles, effectively reduces the tracking particles number and improves tracking stability and robustness. We use it in video tracking and the performance is validated to be effective.
| Original language | English |
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| Title of host publication | WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation |
| Pages | 4780-4783 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China Duration: 6 Jul 2012 → 8 Jul 2012 |
Publication series
| Name | Proceedings of the World Congress on Intelligent Control and Automation (WCICA) |
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Conference
| Conference | 10th World Congress on Intelligent Control and Automation, WCICA 2012 |
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| Country/Territory | China |
| City | Beijing |
| Period | 6/07/12 → 8/07/12 |
Keywords
- Niche Particle Swarm Algorithm
- Particle Filter
- Video tracking
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Li, X., Chen, W., & Shang, Z. (2012). A video tracking method based on Niche Particle Swarm Algorithm-Particle Filter. In WCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation (pp. 4780-4783). Article 6359384 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). https://doi.org/10.1109/WCICA.2012.6359384