TY - GEN
T1 - Stereo matching in spatio-temporal accumulation for the estimation of vehicular mean speed
AU - Laverde, Nicolas
AU - Calderon, Francisco
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Computer Vision
KW - Spatio-temporal Accumulation
KW - Stereo Matching
KW - Vehicular Traffic Variables
UR - http://www.scopus.com/inward/record.url?scp=84870697116&partnerID=8YFLogxK
U2 - 10.1109/STSIVA.2012.6340573
DO - 10.1109/STSIVA.2012.6340573
M3 - Conference contribution
AN - SCOPUS:84870697116
SN - 9781467327619
T3 - STSIVA 2012 - 17th Symposium of Image, Signal Processing, and Artificial Vision
SP - 148
EP - 152
BT - STSIVA 2012 - 17th Symposium of Image, Signal Processing, and Artificial Vision
T2 - 17th Symposium of Image, Signal Processing, and Artificial Vision, STSIVA 2012
Y2 - 12 September 2012 through 14 September 2012
ER -