{"title":"基于时空累积的立体匹配估计车辆平均速度","authors":"Nicolas Laverde, F. Calderon","doi":"10.1109/STSIVA.2012.6340573","DOIUrl":null,"url":null,"abstract":"Measuring the speed of vehicles in a road is of great importance in the planning and regulation of traffic. This article shows a recent method of capture the video, which greatly reduces the computational complexity of an algorithm for estimating the average speed of a road. The basis of the processing technique used, consists in accumulating sections each video frame in a matrix, in which one dimension corresponds to a section accumulated in a video frame, usually a line “the space dimension” and the other dimension to each video frame “the timedimension”. The accumulation is done on vertical or horizontal lines and the resulting matrix can be seen as a new image. If an accumulation in done on the spatio-temporal video two lines spaced by a known distance, vehicle speed can be estimated calculating the difference of this on the time axis of the two resulting images. This document shows the results of applying common techniques in stereo matching to the problem of matching images resulting from the space-time accumulation, used for estimating the average speed of a road.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stereo matching in spatio-temporal accumulation for the estimation of vehicular mean speed\",\"authors\":\"Nicolas Laverde, F. Calderon\",\"doi\":\"10.1109/STSIVA.2012.6340573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Measuring the speed of vehicles in a road is of great importance in the planning and regulation of traffic. This article shows a recent method of capture the video, which greatly reduces the computational complexity of an algorithm for estimating the average speed of a road. The basis of the processing technique used, consists in accumulating sections each video frame in a matrix, in which one dimension corresponds to a section accumulated in a video frame, usually a line “the space dimension” and the other dimension to each video frame “the timedimension”. The accumulation is done on vertical or horizontal lines and the resulting matrix can be seen as a new image. If an accumulation in done on the spatio-temporal video two lines spaced by a known distance, vehicle speed can be estimated calculating the difference of this on the time axis of the two resulting images. This document shows the results of applying common techniques in stereo matching to the problem of matching images resulting from the space-time accumulation, used for estimating the average speed of a road.\",\"PeriodicalId\":383297,\"journal\":{\"name\":\"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STSIVA.2012.6340573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STSIVA.2012.6340573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stereo matching in spatio-temporal accumulation for the estimation of vehicular mean speed
Measuring the speed of vehicles in a road is of great importance in the planning and regulation of traffic. This article shows a recent method of capture the video, which greatly reduces the computational complexity of an algorithm for estimating the average speed of a road. The basis of the processing technique used, consists in accumulating sections each video frame in a matrix, in which one dimension corresponds to a section accumulated in a video frame, usually a line “the space dimension” and the other dimension to each video frame “the timedimension”. The accumulation is done on vertical or horizontal lines and the resulting matrix can be seen as a new image. If an accumulation in done on the spatio-temporal video two lines spaced by a known distance, vehicle speed can be estimated calculating the difference of this on the time axis of the two resulting images. This document shows the results of applying common techniques in stereo matching to the problem of matching images resulting from the space-time accumulation, used for estimating the average speed of a road.