DocumentCode
2638264
Title
An intelligent vision-based vehicle detection and tracking system for automotive applications
Author
Tsai, Yi-Min ; Tsai, Chih-Chung ; Huang, Keng-Yen ; Chen, Liang-Gee
Author_Institution
DSP/IC Design Lab., Nat. Taiwan Univ., Taipei, Taiwan
fYear
2011
fDate
9-12 Jan. 2011
Firstpage
113
Lastpage
114
Abstract
In this paper, we present an intelligent vision-based on-road preceding vehicle detection and tracking system based on computer vision techniques. Pre-processing video stabilization is adopted to improve system reliability and stability. High performance detection is achieved via the machine learning-based method. Our framework is favored for various automotive applications, which yields above 90% detection rate in long range and 99.1% tracking successful rate in middle range.
Keywords
automated highways; automotive engineering; computer vision; learning (artificial intelligence); motion estimation; automotive applications; computer vision techniques; intelligent vision-based vehicle detection and tracking system; machine learning-based method; pre-processing video stabilization; Artificial intelligence; Automotive applications; Image resolution; Strontium; Sun; Vehicle detection; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
2158-3994
Print_ISBN
978-1-4244-8711-0
Type
conf
DOI
10.1109/ICCE.2011.5722490
Filename
5722490
Link To Document