Paper
28 May 2004 Multiple vehicle tracking using invariant moments and Hough transform
Seung Hak Rhee, Muhammad Bilal Ahmad, Seung-Jin Park, Kyoung-Ju Beak, Jong-An Park
Author Affiliations +
Proceedings Volume 5298, Image Processing: Algorithms and Systems III; (2004) https://doi.org/10.1117/12.521595
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
In this paper, we describe a real time vehicle tracking using image processing techniques. The moving vehicles are segmented from the input image sequence using differential edge images. The vehicles are tracked using statistical invariant moments. The direction of vehicles is determined by the Hough transform. The direction of the vehicles is determined from the straight lines in the direction of the principal axes of the vehicles. The motion information is calculated from the displacement of the vehicles and the change of direction of vehicles in the consecutive frames. The algorithm is tested on different real time image sequences.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Seung Hak Rhee, Muhammad Bilal Ahmad, Seung-Jin Park, Kyoung-Ju Beak, and Jong-An Park "Multiple vehicle tracking using invariant moments and Hough transform", Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); https://doi.org/10.1117/12.521595
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KEYWORDS
Image segmentation

Hough transforms

Detection and tracking algorithms

Cameras

Image processing algorithms and systems

Binary data

Image processing

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