Title :
Research of vehicle monocular measurement system based on computer vision
Author :
Jun-Tao Xue ; Shao-Peng Xu ; Shi-Ming Wang
Author_Institution :
Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China
Abstract :
The modern transportation indeed brings us convenience, while the traffic accidents also endanger people´s lives and property safety seriously. Real-time and accurate detection of the distance of the vehicle in front will reduce traffic accidents effectively. Therefore, this article summarizes and improves the vehicle detection and ranging model on the basis of in-depth analysis of the existing methods. This paper combines shadow detection and license plate positioning approach to vehicle detection, establishing an improved ranging model to study monocular ranging system. We can conclude from the experimental results that the method we designed in this paper is effective and feasible to some extent and has higher operation efficiency and accuracy.
Keywords :
computer vision; object detection; road traffic; road vehicles; traffic engineering computing; computer vision; indepth analysis; license plate positioning; monocular ranging system; shadow detection; traffic accidents; vehicle detection; vehicle monocular measurement system; Abstracts; Computer vision; Measurement uncertainty; Position measurement; Vehicles; License Plate Positioning; Monocular Measurement Model; Shadow Detection; Vehicle Detection;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
DOI :
10.1109/ICMLC.2013.6890420