{"title":"基于计算机视觉的交通信息实时采集","authors":"Kim-Sung Jie, Ming Liu","doi":"10.1109/ICIA.2005.1635075","DOIUrl":null,"url":null,"abstract":"This paper presents a low-cost computer vision system for real time traffic monitoring. The prototype built up simply consists of a PC (or a laptop) and a web-cam camera. The hardware configuration, the software structure and the basic image processing algorithms are presented. The prototype was tested in real scene under different nature lighting conditions and showed reasonable results. After an evaluation on the results obtained, the further work needed to improve the robustness of the system is given.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Computer vision based real-time information acquisition for transport traffic\",\"authors\":\"Kim-Sung Jie, Ming Liu\",\"doi\":\"10.1109/ICIA.2005.1635075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a low-cost computer vision system for real time traffic monitoring. The prototype built up simply consists of a PC (or a laptop) and a web-cam camera. The hardware configuration, the software structure and the basic image processing algorithms are presented. The prototype was tested in real scene under different nature lighting conditions and showed reasonable results. After an evaluation on the results obtained, the further work needed to improve the robustness of the system is given.\",\"PeriodicalId\":136611,\"journal\":{\"name\":\"2005 IEEE International Conference on Information Acquisition\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE International Conference on Information Acquisition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIA.2005.1635075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Information Acquisition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2005.1635075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computer vision based real-time information acquisition for transport traffic
This paper presents a low-cost computer vision system for real time traffic monitoring. The prototype built up simply consists of a PC (or a laptop) and a web-cam camera. The hardware configuration, the software structure and the basic image processing algorithms are presented. The prototype was tested in real scene under different nature lighting conditions and showed reasonable results. After an evaluation on the results obtained, the further work needed to improve the robustness of the system is given.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
