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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jong-Ho Choi Kang-Ho Lee Kuk-Chan Cha Jun-Sik Kwon Dong-Wook Kim Ho-Keun Song |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electron. Eng., Kangnam Univ. (Jong-Ho Choi) |
| Abstract | We propose a new vehicle tracking system which can detect and monitor vehicles as they break traffic lane rules. Our proposed tracking scheme is based on characteristics of both traffic scene and vehicle. These include: background information, local position, and the size of a moving vehicle. The initial size and position of the vehicle are obtained using a 4-directional contour tracking method. The object contour is made less sensitive to luminosity changes by incorporating a frame differencing operation. Each vehicle can be described with four feature points. The template region is estimated by means of a minimum distance approach with respect to center position. Our experimental results confirm that extraction of feature points from each frame of the scene improves the efficiency of vehicle tracking systems. Furthermore, adjustment of the vehicle region with matched points of template resolves the previous problem of occlusion |
| Starting Page | 573 |
| Ending Page | 577 |
| File Size | 659147 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780397886 |
| DOI | 10.1109/IRI.2006.252477 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicle detection Automotive engineering Layout Shape Computerized monitoring Feature extraction Road vehicles Surveillance Road accidents Intelligent transportation systems |
| Content Type | Text |
| Resource Type | Article |
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