Abstract
This paper proposed a fast search algorithm that are based on particle swarms algorithm with using images' entropy we decide the position of the particle swarm according to the factor of variation,which we get from local entroy, At last the results of particle swarms calculation are compared and the optimum particle is obtained as the searching result. The simulation results show that the presented multiple particle swarms algorithm of video tracking is able to apply in real time, and the tracking performance is superior to conventional algorithms.
| Original language | English |
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| Title of host publication | Proceedings of the 30th Chinese Control Conference, CCC 2011 |
| Pages | 3264-3267 |
| Number of pages | 4 |
| Publication status | Published - 2011 |
| Event | 30th Chinese Control Conference, CCC 2011 - Yantai, China Duration: 22 Jul 2011 → 24 Jul 2011 |
Publication series
| Name | Proceedings of the 30th Chinese Control Conference, CCC 2011 |
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Conference
| Conference | 30th Chinese Control Conference, CCC 2011 |
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| Country/Territory | China |
| City | Yantai |
| Period | 22/07/11 → 24/07/11 |
Keywords
- Images' entropy
- Particle swarms
- Target research
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Chen, X., Dou, L. H., Zhang, J., & Sun, J. (2011). A fast search method based on particle swarms algorithm using images' entropy. In Proceedings of the 30th Chinese Control Conference, CCC 2011 (pp. 3264-3267). Article 6001438 (Proceedings of the 30th Chinese Control Conference, CCC 2011).