{"title":"跟踪人群中的多个行人","authors":"Kyousuke Uchida, J. Miura, Y. Shirai","doi":"10.5687/ISCIE.14.180","DOIUrl":null,"url":null,"abstract":"In the domain of city design, the demand for the development of the visual tracking method is increasing, which provides the pedestrian paths. This paper proposes the tracking method which reduces the ambiguity of matching. When features of a pedestrian are ambiguous in the original image, the proposed method generates plural candidates for the pedestrian path. In the following frames the proposed method veri es them to eliminate false ones. We experiment on real image sequences.","PeriodicalId":295384,"journal":{"name":"IAPR International Workshop on Machine Vision Applications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Tracking Multiple Pedestrians in Crowd\",\"authors\":\"Kyousuke Uchida, J. Miura, Y. Shirai\",\"doi\":\"10.5687/ISCIE.14.180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the domain of city design, the demand for the development of the visual tracking method is increasing, which provides the pedestrian paths. This paper proposes the tracking method which reduces the ambiguity of matching. When features of a pedestrian are ambiguous in the original image, the proposed method generates plural candidates for the pedestrian path. In the following frames the proposed method veri es them to eliminate false ones. We experiment on real image sequences.\",\"PeriodicalId\":295384,\"journal\":{\"name\":\"IAPR International Workshop on Machine Vision Applications\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IAPR International Workshop on Machine Vision Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5687/ISCIE.14.180\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IAPR International Workshop on Machine Vision Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5687/ISCIE.14.180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In the domain of city design, the demand for the development of the visual tracking method is increasing, which provides the pedestrian paths. This paper proposes the tracking method which reduces the ambiguity of matching. When features of a pedestrian are ambiguous in the original image, the proposed method generates plural candidates for the pedestrian path. In the following frames the proposed method veri es them to eliminate false ones. We experiment on real image sequences.
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