{"title":"在感知组织中使用对象模型作为领域知识:一种视频序列中对象类别识别的方法","authors":"Gaurav Harit, R. Bharatia, S. Chaudhury","doi":"10.1109/ICCTA.2007.130","DOIUrl":null,"url":null,"abstract":"In this paper we present a framework which integrates object-model knowledge with the perceptual organization process. We demonstrate the advantages of the add-on grouping evidences as contributed by the object models for a more robust perceptual organization in the spatio-temporal domain. Our system performs detection of foreground objects along with recognition in video","PeriodicalId":308247,"journal":{"name":"2007 International Conference on Computing: Theory and Applications (ICCTA'07)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Object Models as Domain Knowledge in Perceptual Organization: An Approach for Object Category Identification in Video Sequences\",\"authors\":\"Gaurav Harit, R. Bharatia, S. Chaudhury\",\"doi\":\"10.1109/ICCTA.2007.130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present a framework which integrates object-model knowledge with the perceptual organization process. We demonstrate the advantages of the add-on grouping evidences as contributed by the object models for a more robust perceptual organization in the spatio-temporal domain. Our system performs detection of foreground objects along with recognition in video\",\"PeriodicalId\":308247,\"journal\":{\"name\":\"2007 International Conference on Computing: Theory and Applications (ICCTA'07)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Computing: Theory and Applications (ICCTA'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCTA.2007.130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Computing: Theory and Applications (ICCTA'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCTA.2007.130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Object Models as Domain Knowledge in Perceptual Organization: An Approach for Object Category Identification in Video Sequences
In this paper we present a framework which integrates object-model knowledge with the perceptual organization process. We demonstrate the advantages of the add-on grouping evidences as contributed by the object models for a more robust perceptual organization in the spatio-temporal domain. Our system performs detection of foreground objects along with recognition in video