{"title":"图像挖掘在交通图像分析知识发现中的应用","authors":"S. Zaboli, S. Naderi, A. Moghaddam","doi":"10.1109/ICIT.2006.372296","DOIUrl":null,"url":null,"abstract":"This paper presents a new application of image mining systems for knowledge discovery of traffic/people behaviors. Our proposed image-mining framework analyzes the traffic image sequences by using background subtraction, image segmentation, and object tracking in the domain of traffic monitoring. The spatio-temporal relationships of the vehicle objects in each frame are discovered and accurately captured and modeled. Then trajectory of moving objects is determined and normality and abnormality of people/vehicle behaviors is recognized. In our system a fuzzy Decision Maker (FDM) is used to modeling and extracting knowledge from traffic behavioral patterns.","PeriodicalId":103105,"journal":{"name":"2006 IEEE International Conference on Industrial Technology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Application of Image Mining for Knowledge Discovery of Analyzed Traffic Images\",\"authors\":\"S. Zaboli, S. Naderi, A. Moghaddam\",\"doi\":\"10.1109/ICIT.2006.372296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new application of image mining systems for knowledge discovery of traffic/people behaviors. Our proposed image-mining framework analyzes the traffic image sequences by using background subtraction, image segmentation, and object tracking in the domain of traffic monitoring. The spatio-temporal relationships of the vehicle objects in each frame are discovered and accurately captured and modeled. Then trajectory of moving objects is determined and normality and abnormality of people/vehicle behaviors is recognized. In our system a fuzzy Decision Maker (FDM) is used to modeling and extracting knowledge from traffic behavioral patterns.\",\"PeriodicalId\":103105,\"journal\":{\"name\":\"2006 IEEE International Conference on Industrial Technology\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Industrial Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2006.372296\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Industrial Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2006.372296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Image Mining for Knowledge Discovery of Analyzed Traffic Images
This paper presents a new application of image mining systems for knowledge discovery of traffic/people behaviors. Our proposed image-mining framework analyzes the traffic image sequences by using background subtraction, image segmentation, and object tracking in the domain of traffic monitoring. The spatio-temporal relationships of the vehicle objects in each frame are discovered and accurately captured and modeled. Then trajectory of moving objects is determined and normality and abnormality of people/vehicle behaviors is recognized. In our system a fuzzy Decision Maker (FDM) is used to modeling and extracting knowledge from traffic behavioral patterns.