{"title":"结合颜色和轮廓特征的目标跟踪算法研究","authors":"Baoying Chen, Ningning Zhou, Guofang Huang","doi":"10.1109/ISKE.2017.8258719","DOIUrl":null,"url":null,"abstract":"Aiming at the instability of traditional color feature tracking algorithm in some complex scenes, an object tracking algorithm with integrating color and contour features is proposed. The algorithm still uses the traditional particle filter to predict the target, but in iteration every time, when searching the best position of the target, the color and contour information of the target can be adaptively combined. Experiments show that it shows good effectiveness and robustness compared with the traditional algorithms when the target is interfered between similar colors or the target is partially obscured.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"38 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on target tracking algorithm integrating color and contour features\",\"authors\":\"Baoying Chen, Ningning Zhou, Guofang Huang\",\"doi\":\"10.1109/ISKE.2017.8258719\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the instability of traditional color feature tracking algorithm in some complex scenes, an object tracking algorithm with integrating color and contour features is proposed. The algorithm still uses the traditional particle filter to predict the target, but in iteration every time, when searching the best position of the target, the color and contour information of the target can be adaptively combined. Experiments show that it shows good effectiveness and robustness compared with the traditional algorithms when the target is interfered between similar colors or the target is partially obscured.\",\"PeriodicalId\":208009,\"journal\":{\"name\":\"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)\",\"volume\":\"38 12\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISKE.2017.8258719\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISKE.2017.8258719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on target tracking algorithm integrating color and contour features
Aiming at the instability of traditional color feature tracking algorithm in some complex scenes, an object tracking algorithm with integrating color and contour features is proposed. The algorithm still uses the traditional particle filter to predict the target, but in iteration every time, when searching the best position of the target, the color and contour information of the target can be adaptively combined. Experiments show that it shows good effectiveness and robustness compared with the traditional algorithms when the target is interfered between similar colors or the target is partially obscured.