Title :
A survey of vision-based vehicle detection and tracking techniques in ITS
Author :
Yuqiang Liu ; Bin Tian ; Songhang Chen ; Fenghua Zhu ; Kunfeng Wang
Author_Institution :
State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
Abstract :
There has been an ever-increasing interest in research on traffic detection and traffic scene understanding based on computer vision, driven by the increasing processor speed and the increasing deployment of cameras. This field is of increasing relevance for the intelligent transport system (ITS). Therefore, there seems to be a real need for an analytical review of recent developments in this domain. We present here is a comprehensive review of video processing techniques state of the art for vehicle detection and tracking and an outlook to future research directions.
Keywords :
automated highways; cameras; computer vision; object detection; object tracking; traffic engineering computing; video signal processing; ITS; cameras; computer vision; intelligent transport system; processor speed; traffic detection; traffic scene understanding; video processing techniques; vision-based vehicle detection technique; vision-based vehicle tracking technique; Computer vision; Pattern recognition; Solid modeling; Three-dimensional displays; Tracking; Vehicle detection; Vehicles; computer vision; intelligent transportation system; vehicle detection; vehicle tracking; video processing;
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2013 IEEE International Conference on
Conference_Location :
Dongguan
DOI :
10.1109/ICVES.2013.6619606