{"title":"视频监控中车速检测算法的研究","authors":"Jinxiang Wang","doi":"10.1109/ICALIP.2016.7846573","DOIUrl":null,"url":null,"abstract":"The paper presented a vehicle speed estimation algorithm based on moving target detection in video surveillance. Firstly, the features of moving vehicles were extracted by using the three frame difference method and the background difference method; secondly, tracked and positioned the moving target according to moving vehicle centroid feature extraction method; finally, the vehicle speed was estimated based on mapping relationship between the pixel distance with the actual distance.","PeriodicalId":184170,"journal":{"name":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","volume":"2008 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Research of vehicle speed detection algorithm in video surveillance\",\"authors\":\"Jinxiang Wang\",\"doi\":\"10.1109/ICALIP.2016.7846573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presented a vehicle speed estimation algorithm based on moving target detection in video surveillance. Firstly, the features of moving vehicles were extracted by using the three frame difference method and the background difference method; secondly, tracked and positioned the moving target according to moving vehicle centroid feature extraction method; finally, the vehicle speed was estimated based on mapping relationship between the pixel distance with the actual distance.\",\"PeriodicalId\":184170,\"journal\":{\"name\":\"2016 International Conference on Audio, Language and Image Processing (ICALIP)\",\"volume\":\"2008 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Audio, Language and Image Processing (ICALIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALIP.2016.7846573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Audio, Language and Image Processing (ICALIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALIP.2016.7846573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of vehicle speed detection algorithm in video surveillance
The paper presented a vehicle speed estimation algorithm based on moving target detection in video surveillance. Firstly, the features of moving vehicles were extracted by using the three frame difference method and the background difference method; secondly, tracked and positioned the moving target according to moving vehicle centroid feature extraction method; finally, the vehicle speed was estimated based on mapping relationship between the pixel distance with the actual distance.