Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking
The three-stage human brain memory model is incorporated into a multiagent coevolutionary process for finding the best match of the appearance of an object, and a memory-based multiagent coevolution algorithm for robust tracking the moving objects is presented in this paper. Each agent can remember,...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/793013 |
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| _version_ | 1832550721904443392 |
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| author | Yanjiang Wang Yujuan Qi Yongping Li |
| author_facet | Yanjiang Wang Yujuan Qi Yongping Li |
| author_sort | Yanjiang Wang |
| collection | DOAJ |
| description | The three-stage human brain memory model is incorporated into a multiagent coevolutionary process for finding the best match of the appearance of an object, and a memory-based multiagent coevolution algorithm for robust tracking the moving objects is presented in this paper. Each agent can remember, retrieve, or forget the appearance of the object through its own memory system by its own experience. A number of such memory-based agents are randomly distributed nearby the located object region and then mapped onto a 2D lattice-like environment for predicting the new location of the object by their coevolutionary behaviors, such as competition, recombination, and migration. Experimental results show that the proposed method can deal with large appearance changes and heavy occlusions when tracking a moving object. It can locate the correct object after the appearance changed or the occlusion recovered and outperforms the traditional particle filter-based tracking methods. |
| format | Article |
| id | doaj-art-ba0f8751d06d41859921d2736c8941b1 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-ba0f8751d06d41859921d2736c8941b12025-02-03T06:05:58ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/793013793013Memory-Based Multiagent Coevolution Modeling for Robust Moving Object TrackingYanjiang Wang0Yujuan Qi1Yongping Li2College of Information and Control Engineering, China University of Petroleum, No. 66, Changjiang West Road, Economic and Technological Development Zone, Qingdao 266580, ChinaCollege of Information and Control Engineering, China University of Petroleum, No. 66, Changjiang West Road, Economic and Technological Development Zone, Qingdao 266580, ChinaCollege of Information and Control Engineering, China University of Petroleum, No. 66, Changjiang West Road, Economic and Technological Development Zone, Qingdao 266580, ChinaThe three-stage human brain memory model is incorporated into a multiagent coevolutionary process for finding the best match of the appearance of an object, and a memory-based multiagent coevolution algorithm for robust tracking the moving objects is presented in this paper. Each agent can remember, retrieve, or forget the appearance of the object through its own memory system by its own experience. A number of such memory-based agents are randomly distributed nearby the located object region and then mapped onto a 2D lattice-like environment for predicting the new location of the object by their coevolutionary behaviors, such as competition, recombination, and migration. Experimental results show that the proposed method can deal with large appearance changes and heavy occlusions when tracking a moving object. It can locate the correct object after the appearance changed or the occlusion recovered and outperforms the traditional particle filter-based tracking methods.http://dx.doi.org/10.1155/2013/793013 |
| spellingShingle | Yanjiang Wang Yujuan Qi Yongping Li Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking The Scientific World Journal |
| title | Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking |
| title_full | Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking |
| title_fullStr | Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking |
| title_full_unstemmed | Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking |
| title_short | Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking |
| title_sort | memory based multiagent coevolution modeling for robust moving object tracking |
| url | http://dx.doi.org/10.1155/2013/793013 |
| work_keys_str_mv | AT yanjiangwang memorybasedmultiagentcoevolutionmodelingforrobustmovingobjecttracking AT yujuanqi memorybasedmultiagentcoevolutionmodelingforrobustmovingobjecttracking AT yongpingli memorybasedmultiagentcoevolutionmodelingforrobustmovingobjecttracking |