Title :
Vehicle recognition for highway lane survey
Author :
Sidla, Oliver ; Paletta, Lucas ; Lypetskyy, Yuriy ; Janner, Christian
Author_Institution :
Joanneum Res., Graz, Austria
Abstract :
A prototype computer vision system and framework for the recognition of vehicles from single images is presented. An appearance based pattern matching algorithm which relies on principal component analysis detects and classifies cars and trucks under geometric constraints (front and back views only) independent of scale and location in an image. Since no motion information is required in order to segment vehicles prior to recognition, the proposed system can be used in situations where extensive lane observation time is not available or motion information is unreliable.
Keywords :
computer vision; data compression; image classification; image matching; image segmentation; object detection; object recognition; principal component analysis; road vehicles; roads; traffic engineering computing; car classification; car detection; computer vision system; data compression; geometric constraints; highway lane survey; image recognition; lane observation time; pattern matching algorithm; principal component analysis; traffic engineering computing; truck classification; truck detection; vehicle recognition; vehicle segmentation; Cameras; Computer vision; Image recognition; Monitoring; Motion detection; Object detection; Road transportation; Road vehicles; Surveillance; Vehicle detection;
Conference_Titel :
Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
Print_ISBN :
0-7803-8500-4
DOI :
10.1109/ITSC.2004.1398956
