DocumentCode
1979780
Title
The vehicle speed measuring and precision analysis of video shot by moved camera based on 2D DLT algorithm
Author
Gang Huang ; Chaozhong Wu ; Nengchao Lyu ; Pingfan Li
Author_Institution
Intell. Transp. Syst. Res. Center, Wuhan Univ. of Technol., Wuhan, China
fYear
2015
fDate
25-28 June 2015
Firstpage
111
Lastpage
116
Abstract
To solve the problem that the Direct Linear Transformation (DLT) algorithm cannot be used in the background moving scene, a novel transforming method based on 2D DLT is proposed. The method transforms the feature points in different scenes to the same object space coordinate. Firstly the precision of 2D DLT algorithm has been verified in high-precision 3-D digital camera calibration field. Experiments have been carried out on the platform of miniature traffic scene to calculate errors of the algorithm caused by movements of the camera. The results of the experiments indicated that the errors are all less than 2.5%. Although the errors present a rising trend, the limitation of actual traffic scene makes the proposed method available. The researching results can be used as an aid for speed measuring of road accident identified, and it can provide a scientific basis for the error estimation of the speed identification based on surveillance video which the backgrounds are changing.
Keywords
image motion analysis; road accidents; road safety; road traffic; road vehicles; velocity measurement; video surveillance; 2D DLT algorithm; direct linear transformation; high-precision 3D digital camera calibration; road accident; surveillance video; vehicle speed measurement; Accidents; Calibration; Cameras; Measurement uncertainty; Safety; Vehicles; Direct Linear Transformation; Error analysis; Moved scene; Road traffic safety; Speed measurement; Traffic accident identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation Information and Safety (ICTIS), 2015 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4799-8693-4
Type
conf
DOI
10.1109/ICTIS.2015.7232203
Filename
7232203
Link To Document