| Hu Shuo (胡硕),Zhang Xuguang,Wu Na.[J].高技术通讯(英文),2016,22(3):248~255 |
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| Real-time vehicle tracking for traffic monitoring systems |
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| DOI：10.3772/j.issn.1006-6748.2016.03.003 |
| 中文关键词: |
| 英文关键词: traffic monitoring system, covariance matching, genetic algorithms, vehicle tracking |
| 基金项目: |
| Author Name | Affiliation | | Hu Shuo (胡硕) | | | Zhang Xuguang | | | Wu Na | |
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| 中文摘要: |
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| 英文摘要: |
| A real-time vehicle tracking method is proposed for traffic monitoring system at road intersections, and the vehicle tracking module consists of an initialization stage and a tracking stage. License plate location based on edge density and color analysis is used to detect the license plate region for tracking initialization. In the tracking stage, covariance matching is employed to track the license plate. Genetic algorithm is used to reduce the computational cost. Real-time image tracking of multi-lane vehicles is achieved. In the experiment, test videos are recorded in advance by recorders of actual E-police systems at several different city intersections. In the tracking module, the average false detection rate and missed plates rate are 1.19%, and 1.72%, respectively. |
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