{"title":"单眼图像序列中基于颜色的目标跟踪的研究与实现","authors":"Muhammad Owais Mehmood","doi":"10.1109/SCORED.2009.5443273","DOIUrl":null,"url":null,"abstract":"Kernel tracking of density-based appearance models is implemented in this paper for real-time object tracking applications. First a ROI, i.e., the region of interest is selected in real-time to create a model. Then the matching and locating of the search object is achieved by using mean-shift algorithm. Experimental results show that this method can find perform object tracking with adaptation to scale and translation, robustness to noise and handling of occlusion.","PeriodicalId":443287,"journal":{"name":"2009 IEEE Student Conference on Research and Development (SCOReD)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Study and implementation of color-based object tracking in monocular image sequences\",\"authors\":\"Muhammad Owais Mehmood\",\"doi\":\"10.1109/SCORED.2009.5443273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Kernel tracking of density-based appearance models is implemented in this paper for real-time object tracking applications. First a ROI, i.e., the region of interest is selected in real-time to create a model. Then the matching and locating of the search object is achieved by using mean-shift algorithm. Experimental results show that this method can find perform object tracking with adaptation to scale and translation, robustness to noise and handling of occlusion.\",\"PeriodicalId\":443287,\"journal\":{\"name\":\"2009 IEEE Student Conference on Research and Development (SCOReD)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Student Conference on Research and Development (SCOReD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCORED.2009.5443273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Student Conference on Research and Development (SCOReD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCORED.2009.5443273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study and implementation of color-based object tracking in monocular image sequences
Kernel tracking of density-based appearance models is implemented in this paper for real-time object tracking applications. First a ROI, i.e., the region of interest is selected in real-time to create a model. Then the matching and locating of the search object is achieved by using mean-shift algorithm. Experimental results show that this method can find perform object tracking with adaptation to scale and translation, robustness to noise and handling of occlusion.