NDLI: A ROI setting method for vehicle detection in urban environment

Content Provider	IEEE Xplore Digital Library
Author	Wang, Z. Cai, B.G.
Copyright Year	2012
Description	Author affiliation: School of Eletronic and Information Engineering, Beijing Jiaotong University, 100044, China (Wang, Z.)
Abstract	The application of computer vision technology to traffic detecting and information collecting is an important subject in Intelligent Transportation System (ITS). Generally, for the convenience of vision-based vehicle detection and tracking, many algorithms set the region of interesting (ROI) for the image processing manually, that is virtual loops technology. Many factors impact on the ROIs setting, such as the position or the view angle and the focus of the camera, the distance between the camera and the road, etc. Setting the ROIs is by no means a trivial thing, and moreover, these factors may be changed for some reasons. Many potential problems exist in the methods. In this paper, all the vehicles are assumed to be located on the planar region. According to this geometric constraint, a planar region detection method is employed to recognize the road region and the road side. Combined with optical flow-based motion segmentation, the proposed method can differentiate the vehicle motion on the road from other events on the roadside without setting the ROIs. Some experiments are conducted to validate the proposed the method.
Starting Page	1205
Ending Page	1208
File Size	778888
Page Count	4
File Format	PDF
ISBN	9781467304047
e-ISBN	9781467304054
DOI	10.1109/APWC.2012.6324962
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-02
Publisher Place	South Africa
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Roads Vehicles Transmission line matrix methods Vehicle detection Feature extraction Monitoring
Content Type	Text
Resource Type	Article

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