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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| Format: | Article |
| Language: | zho |
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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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| _version_ | 1850049244174483456 |
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| author | YUAN Dong-hui1 LIU Da-you1 SHEN Shi-qun1 |
| author_facet | YUAN Dong-hui1 LIU Da-you1 SHEN Shi-qun1 |
| author_sort | YUAN Dong-hui1 |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-419678c865ff4be3a0a38cfbfbfc9bc4 |
| institution | DOAJ |
| issn | 1000-436X |
| language | zho |
| publishDate | 2011-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-419678c865ff4be3a0a38cfbfbfc9bc42025-08-20T02:53:44ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-0132172374417772Improved AC-GA based data association method for multi-target trackingYUAN Dong-hui1LIU Da-you1SHEN Shi-qun1An 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.http://www.joconline.com.cn/zh/article/74417772/data associationmulti-targetACGA |
| spellingShingle | YUAN Dong-hui1 LIU Da-you1 SHEN Shi-qun1 Improved AC-GA based data association method for multi-target tracking Tongxin xuebao data association multi-target AC GA |
| title | Improved AC-GA based data association method for multi-target tracking |
| title_full | Improved AC-GA based data association method for multi-target tracking |
| title_fullStr | Improved AC-GA based data association method for multi-target tracking |
| title_full_unstemmed | Improved AC-GA based data association method for multi-target tracking |
| title_short | Improved AC-GA based data association method for multi-target tracking |
| title_sort | improved ac ga based data association method for multi target tracking |
| topic | data association multi-target AC GA |
| url | http://www.joconline.com.cn/zh/article/74417772/ |
| work_keys_str_mv | AT yuandonghui1 improvedacgabaseddataassociationmethodformultitargettracking AT liudayou1 improvedacgabaseddataassociationmethodformultitargettracking AT shenshiqun1 improvedacgabaseddataassociationmethodformultitargettracking |