{"title":"静止背景下彩色目标检测的研究","authors":"Ji-cheng Liu, Xueyang Lu","doi":"10.1109/ICCEE.2008.49","DOIUrl":null,"url":null,"abstract":"In order to track moving targets of video image in stock-still background, a new detecting method is designed. According to the advantage of HSI color distribution model which is apperceive highly for color, the characteristic color distribution function of image detected is established by using the characteristic color vector to describe the targets features, the dichotomy is used to search potential target region, which can detect rapidly the color target in stock-still background. The experimental results demonstrate that the method is more effective compared with the general algorithm based on main color in eliminating non-target domain.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Color Target Detecting in Still Background\",\"authors\":\"Ji-cheng Liu, Xueyang Lu\",\"doi\":\"10.1109/ICCEE.2008.49\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to track moving targets of video image in stock-still background, a new detecting method is designed. According to the advantage of HSI color distribution model which is apperceive highly for color, the characteristic color distribution function of image detected is established by using the characteristic color vector to describe the targets features, the dichotomy is used to search potential target region, which can detect rapidly the color target in stock-still background. The experimental results demonstrate that the method is more effective compared with the general algorithm based on main color in eliminating non-target domain.\",\"PeriodicalId\":365473,\"journal\":{\"name\":\"2008 International Conference on Computer and Electrical Engineering\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Computer and Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEE.2008.49\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Computer and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEE.2008.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Color Target Detecting in Still Background
In order to track moving targets of video image in stock-still background, a new detecting method is designed. According to the advantage of HSI color distribution model which is apperceive highly for color, the characteristic color distribution function of image detected is established by using the characteristic color vector to describe the targets features, the dichotomy is used to search potential target region, which can detect rapidly the color target in stock-still background. The experimental results demonstrate that the method is more effective compared with the general algorithm based on main color in eliminating non-target domain.