DocumentCode
3338598
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
fYear
2013
fDate
28-30 July 2013
Firstpage
72
Lastpage
77
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Electronics and Safety (ICVES), 2013 IEEE International Conference on
Conference_Location
Dongguan
Type
conf
DOI
10.1109/ICVES.2013.6619606
Filename
6619606
Link To Document