Vehicle recognition for highway lane survey

Author

Sidla, Oliver ; Paletta, Lucas ; Lypetskyy, Yuriy ; Janner, Christian

Author_Institution

Joanneum Res., Graz, Austria

fYear

2004

fDate

3-6 Oct. 2004

Firstpage

531

Lastpage

536

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on

Print_ISBN

0-7803-8500-4

Type

conf

DOI

10.1109/ITSC.2004.1398956

Filename

1398956