A Grey-Histogram Based Tracking System for Traffic Detection
The detection of bicycles and pedestrians is as important as the detection of vehicles especially in China. In this paper, a grey-histogram based system is proposed, which can obtain real time traffic data of vehicle, bicycles and pedestrians. So far, it’s a common problem in multiple objects tracking to resolve the identity of each tracked object after an occlusion. In our system, an object tracking method based on position prediction and grey-histogram based matching technique is proposed. And experimental results show that the system resolves the problems due to occlusion effectively at a certain extent.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Geng, Kai
- Yao, Danya
- Zhang, Yi
- Teng, Renjie
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Conference:
- 12th World Congress on Intelligent Transport Systems
- Location: San Francisco California, United States
- Date: 2005-11-6 to 2005-11-10
- Publication Date: 2005
Language
- English
Media Info
- Media Type: Print
- Features: CD-ROM; Figures; References; Tables;
- Pagination: 7p
- Monograph Title: Proceedings of the 12th World Congress on Intelligent Transport Systems
Subject/Index Terms
- TRT Terms: Bicycles; Histograms; Incident detection; Pedestrians; Real time information; Tracking systems; Traffic congestion; Traffic data; Vehicle detectors
- Geographic Terms: China
- Subject Areas: Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01015747
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 22 2005 1:17PM