{"title":"一种智能视频事件检测系统","authors":"Yassine Aribi, A. Wali, A. Alimi","doi":"10.1109/ISIAS.2013.6947742","DOIUrl":null,"url":null,"abstract":"The Event detection method from a video surveillance has received much attention in the image processing. In this paper, we present an overview of a new approach for event detection from video surveillance system based on incremental learning. In our approach, each event is modeled by a set of states, and each state is represented by a learning model containing a positive class (event) and a negative class (non-event). Experiments on real image sequences have shown encouraging results.","PeriodicalId":370107,"journal":{"name":"2013 9th International Conference on Information Assurance and Security (IAS)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An intelligent system for video events detection\",\"authors\":\"Yassine Aribi, A. Wali, A. Alimi\",\"doi\":\"10.1109/ISIAS.2013.6947742\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Event detection method from a video surveillance has received much attention in the image processing. In this paper, we present an overview of a new approach for event detection from video surveillance system based on incremental learning. In our approach, each event is modeled by a set of states, and each state is represented by a learning model containing a positive class (event) and a negative class (non-event). Experiments on real image sequences have shown encouraging results.\",\"PeriodicalId\":370107,\"journal\":{\"name\":\"2013 9th International Conference on Information Assurance and Security (IAS)\",\"volume\":\"182 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 9th International Conference on Information Assurance and Security (IAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIAS.2013.6947742\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 9th International Conference on Information Assurance and Security (IAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIAS.2013.6947742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Event detection method from a video surveillance has received much attention in the image processing. In this paper, we present an overview of a new approach for event detection from video surveillance system based on incremental learning. In our approach, each event is modeled by a set of states, and each state is represented by a learning model containing a positive class (event) and a negative class (non-event). Experiments on real image sequences have shown encouraging results.