{"title":"协同内禀图像和垂直投影直方图集成检测","authors":"Yongxin Dong, Jingling Wang, Qin Zhang","doi":"10.1109/ICETC.2010.5529584","DOIUrl":null,"url":null,"abstract":"This paper detects image sequences using a method by collaborative vertical projection histogram and principal axis-based integration. Instead of the conventional detection method intrinsic images proposes the relation of background and foreground is multiplication, in log domain this relation becomes addition. In the multi-target image sequence, the method combined with vertical projection histogram can detect individuals from each other. Compared with the traditional background subtraction method and gaussian mixture model method,the experimental results verify the effectiveness and advantage of the method.","PeriodicalId":299461,"journal":{"name":"2010 2nd International Conference on Education Technology and Computer","volume":"209 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection by collaborative intrinsic images and vertical projection histogram integration\",\"authors\":\"Yongxin Dong, Jingling Wang, Qin Zhang\",\"doi\":\"10.1109/ICETC.2010.5529584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper detects image sequences using a method by collaborative vertical projection histogram and principal axis-based integration. Instead of the conventional detection method intrinsic images proposes the relation of background and foreground is multiplication, in log domain this relation becomes addition. In the multi-target image sequence, the method combined with vertical projection histogram can detect individuals from each other. Compared with the traditional background subtraction method and gaussian mixture model method,the experimental results verify the effectiveness and advantage of the method.\",\"PeriodicalId\":299461,\"journal\":{\"name\":\"2010 2nd International Conference on Education Technology and Computer\",\"volume\":\"209 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Education Technology and Computer\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETC.2010.5529584\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Education Technology and Computer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETC.2010.5529584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection by collaborative intrinsic images and vertical projection histogram integration
This paper detects image sequences using a method by collaborative vertical projection histogram and principal axis-based integration. Instead of the conventional detection method intrinsic images proposes the relation of background and foreground is multiplication, in log domain this relation becomes addition. In the multi-target image sequence, the method combined with vertical projection histogram can detect individuals from each other. Compared with the traditional background subtraction method and gaussian mixture model method,the experimental results verify the effectiveness and advantage of the method.