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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu Yuan Yang Zhaoxuan He Yinghua Wang Zengmin |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Electron. Inf. Eng., Tianjin Univ. (Yu Yuan) |
| Abstract | In this paper an improved camera calibration algorithm is applied to the video-based traffic information detection. The geometric camera model is set up based on the pin-hole model and direct linear transformation (DLT). Adopting the coplanar condition, we estimate parameters of the model and realize the transform from image coordinates to world coordinates in the end. In our experiment, the algorithm has the advantage of high-accuracy and its parameters can be easily estimated. It is proved that the algorithm could meet the requirement of calibration accuracy in the application of the video-based traffic information detection |
| Starting Page | 808 |
| Ending Page | 811 |
| File Size | 3607697 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395867 |
| DOI | 10.1109/ITST.2006.289022 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Solid modeling Parameter estimation traffic information detection Roads camera calibration Calibration Helium DLT Image reconstruction Vehicles 3D reconstruction Nonlinear distortion Traffic control Cameras |
| Content Type | Text |
| Resource Type | Article |
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