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Content Provider | IEEE Xplore Digital Library |
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Author | Zhijun Qui Danya Yao Yi Zhang Daosong Ma Xinyu Liu |
Copyright Year | 2003 |
Abstract | Besides vehicle both pedestrian and bicycle are two primary components in urban traffic flow. Video object tracking is an important method of information detection in ITS. This system implements an approach for detecting pedestrians and bicycles in urban traffic scenes by means of feature-based reason on visual data. In the video traffic monitoring system, matching method is often used to find the position of the moving object in the image sequence. This paper tried to propose an improved algorithm of corner feature extraction, an algorithm of position matching using motion matching and a method for traffic object classification. Experiment results were followed for verification. |
Starting Page | 340 |
Ending Page | 345 |
File Size | 331778 |
Page Count | 6 |
File Format | |
ISBN | 0780381254 |
DOI | 10.1109/ITSC.2003.1251974 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2003-10-12 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Bicycles Image processing Object detection Computer vision Target tracking Feature extraction Communication system traffic control Roads Monitoring Cameras |
Content Type | Text |
Resource Type | Article |
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