{"title":"视频监控应用的实时图像序列解释","authors":"Nicolas Chleq, M. Thonnat","doi":"10.1109/ICIP.1996.561026","DOIUrl":null,"url":null,"abstract":"This paper describes a generic framework for the realtime interpretation of video-surveillance scenes. The tool we have built according to this framework performs the understanding process up to the online recognition of ongoing scenario with respect to a library of scenario models dedicated to a particular application. This framework is currently applied for the European Esprit project PASSWORDS, the aim of which is to build a complete system for the automatic analysis and interpretation of video-surveillance image sequences.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"Realtime image sequence interpretation for video-surveillance applications\",\"authors\":\"Nicolas Chleq, M. Thonnat\",\"doi\":\"10.1109/ICIP.1996.561026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a generic framework for the realtime interpretation of video-surveillance scenes. The tool we have built according to this framework performs the understanding process up to the online recognition of ongoing scenario with respect to a library of scenario models dedicated to a particular application. This framework is currently applied for the European Esprit project PASSWORDS, the aim of which is to build a complete system for the automatic analysis and interpretation of video-surveillance image sequences.\",\"PeriodicalId\":192947,\"journal\":{\"name\":\"Proceedings of 3rd IEEE International Conference on Image Processing\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 3rd IEEE International Conference on Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.1996.561026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 3rd IEEE International Conference on Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.1996.561026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Realtime image sequence interpretation for video-surveillance applications
This paper describes a generic framework for the realtime interpretation of video-surveillance scenes. The tool we have built according to this framework performs the understanding process up to the online recognition of ongoing scenario with respect to a library of scenario models dedicated to a particular application. This framework is currently applied for the European Esprit project PASSWORDS, the aim of which is to build a complete system for the automatic analysis and interpretation of video-surveillance image sequences.
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