Improved AC-GA based data association method for multi-target tracking
An AC-GADA（ant colony-genetic algorithm data association） algorithm was proposed to deal with the data as-sociation problem for multi-target tracking.This algorithm designed difference pheromone for each ant and improved global pheromone increment model,and combined crossover and mutation strategy w...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2011-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74417772/ |
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| Summary: | An AC-GADA（ant colony-genetic algorithm data association） algorithm was proposed to deal with the data as-sociation problem for multi-target tracking.This algorithm designed difference pheromone for each ant and improved global pheromone increment model,and combined crossover and mutation strategy with fitness of population model in or-der to improve rate of convergence and avoid the appearance of local extremum.The comparison with ACDA（ant colony data association） and JPAD（joint pobabilistic data association） proved its efficiency and superiority. |
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| ISSN: | 1000-436X |