{"title":"基于自适应遗传算法的目标跟踪","authors":"Qingjun Xia, An Zhang","doi":"10.1109/ISCID.2009.17","DOIUrl":null,"url":null,"abstract":"he importance of image tracking system to TV guidance missile and the modes of target tracking were introduced firstly. Aiming at disadvantage of primal algorithm of template matching, genetic algorithm (GA) is applied to template matching. The GA adopts new encoded mode and defines new cross and mutation operator. In addition, the paper analyses the influence of crossover and mutation probability to GA. In order to get appropriate crossover probability and mutation probability, a new adaptive genetic algorithm (NAGA) is adopted. Simulation results prove that target tracking based on the NAGA can reduce computational load and enhance matching speed.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"38-40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Target Tracking Based on a New Adaptive Genetic Algorithm\",\"authors\":\"Qingjun Xia, An Zhang\",\"doi\":\"10.1109/ISCID.2009.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"he importance of image tracking system to TV guidance missile and the modes of target tracking were introduced firstly. Aiming at disadvantage of primal algorithm of template matching, genetic algorithm (GA) is applied to template matching. The GA adopts new encoded mode and defines new cross and mutation operator. In addition, the paper analyses the influence of crossover and mutation probability to GA. In order to get appropriate crossover probability and mutation probability, a new adaptive genetic algorithm (NAGA) is adopted. Simulation results prove that target tracking based on the NAGA can reduce computational load and enhance matching speed.\",\"PeriodicalId\":294370,\"journal\":{\"name\":\"International Symposium on Computational Intelligence and Design\",\"volume\":\"38-40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2009.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2009.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Target Tracking Based on a New Adaptive Genetic Algorithm
he importance of image tracking system to TV guidance missile and the modes of target tracking were introduced firstly. Aiming at disadvantage of primal algorithm of template matching, genetic algorithm (GA) is applied to template matching. The GA adopts new encoded mode and defines new cross and mutation operator. In addition, the paper analyses the influence of crossover and mutation probability to GA. In order to get appropriate crossover probability and mutation probability, a new adaptive genetic algorithm (NAGA) is adopted. Simulation results prove that target tracking based on the NAGA can reduce computational load and enhance matching speed.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
