{"title":"一种从给定视频中检测地面车辆数量和每辆车辆各自速度的新技术","authors":"Susrut Banerjee, Moloy Dhar, S. Sen","doi":"10.1109/EDCT.2018.8405057","DOIUrl":null,"url":null,"abstract":"The vehicle motion is detected and tracked along the frames using the modified Lucas-Kanade algorithm. The distance traveled by the vehicle is calculated using the movement of the centroid over the frames and then the speed of the vehicle is estimated. The application is developed using MATLAB and SIMULINK. The average speed of a car is determined from various frames (here, considering total number of frames is 50).","PeriodicalId":6507,"journal":{"name":"2018 Emerging Trends in Electronic Devices and Computational Techniques (EDCT)","volume":"15 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A novel technique to detect the number of ground vehicles along with respective speed of each vehicle from a given video\",\"authors\":\"Susrut Banerjee, Moloy Dhar, S. Sen\",\"doi\":\"10.1109/EDCT.2018.8405057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The vehicle motion is detected and tracked along the frames using the modified Lucas-Kanade algorithm. The distance traveled by the vehicle is calculated using the movement of the centroid over the frames and then the speed of the vehicle is estimated. The application is developed using MATLAB and SIMULINK. The average speed of a car is determined from various frames (here, considering total number of frames is 50).\",\"PeriodicalId\":6507,\"journal\":{\"name\":\"2018 Emerging Trends in Electronic Devices and Computational Techniques (EDCT)\",\"volume\":\"15 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Emerging Trends in Electronic Devices and Computational Techniques (EDCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDCT.2018.8405057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Emerging Trends in Electronic Devices and Computational Techniques (EDCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDCT.2018.8405057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel technique to detect the number of ground vehicles along with respective speed of each vehicle from a given video
The vehicle motion is detected and tracked along the frames using the modified Lucas-Kanade algorithm. The distance traveled by the vehicle is calculated using the movement of the centroid over the frames and then the speed of the vehicle is estimated. The application is developed using MATLAB and SIMULINK. The average speed of a car is determined from various frames (here, considering total number of frames is 50).