Detection and classification of vehicles

Author

Gupte, Surendra ; Masoud, Osama ; Martin, Robert F K ; Papanikolopoulos, Nikolaos P.

Author_Institution

Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA

Volume

3

Issue

1

fYear

2002

fDate

3/1/2002 12:00:00 AM

Firstpage

37

Lastpage

47

Abstract

This paper presents algorithms for vision-based detection and classification of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. Processing is done at three levels: raw images, region level, and vehicle level. Vehicles are modeled as rectangular patches with certain dynamic behavior. The proposed method is based on the establishment of correspondences between regions and vehicles, as the vehicles move through the image sequence. Experimental results from highway scenes are provided which demonstrate the effectiveness of the method. We also briefly describe an interactive camera calibration tool that we have developed for recovering the camera parameters using features in the image selected by the user

Keywords

calibration; computer vision; image classification; image sequences; interactive systems; object detection; road vehicles; traffic engineering computing; camera parameters; image features; image regions; image sequence; interactive camera calibration tool; monocular image sequences; raw images; rectangular patches; region-vehicle correspondences; traffic scenes; vehicle classification; vehicle detection; vehicle level image processing; vision-based classification; vision-based detection; Calibration; Cameras; Computer science; Detectors; Image sequences; Intelligent transportation systems; Layout; Traffic control; Vehicle detection; Vehicles;

fLanguage

English

Journal_Title

Intelligent Transportation Systems, IEEE Transactions on

Publisher

ieee

ISSN

1524-9050

Type

jour

DOI

10.1109/6979.994794

Filename

994794