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A smart moving vehicle detection system using motion vectors and generic line features

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Wong, Chup-Chung, Siu, Wan-Chi, Jennings, P. A. (Paul A.), Barnes, Stuart and Fong, Bernard (2015) A smart moving vehicle detection system using motion vectors and generic line features. IEEE Transactions on Consumer Electronics, 61 (3). pp. 384-392. doi:10.1109/TCE.2015.7298299

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Official URL: http://dx.doi.org/10.1109/TCE.2015.7298299

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Abstract

This paper presents a novel algorithm for the detection and tracking of low relative speed moving vehicles. The proposed algorithm is particularly suitable for mass-produced in-vehicle devices as it combines with motion vector based moving object detection to form a complete solution for an Advanced Driver Assistance System given its reduction in cost and complexity. The algorithm utilizes motion vectors that are readily available from video encoder output. The region of interest for detection is reduced by ignoring the area above the vanishing line of the captured image, evaluation of the amplitude of motion vectors and identification of the road region. During the evaluation process, a binary image is generated by comparing the gray-level of the captured image to the gray-level of the detected road region. Subsequently, the horizontal and vertical contours of specific areas inside the region of interest are evaluated. Test results show the effectiveness of the algorithm with more than 90 detection rate and the suitability for real-time use with cycle time of less than 66ms.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Vehicle detectors, Computer vision, Driver assistance systems
Journal or Publication Title: IEEE Transactions on Consumer Electronics
Publisher: IEEE
ISSN: 0098-3063
Official Date: August 2015
Dates:
DateEvent
August 2015Published
15 October 2015Available
Volume: 61
Number: 3
Page Range: pp. 384-392
DOI: 10.1109/TCE.2015.7298299
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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