Video-based traffic state estimation on smart cameras for traffic information systems
نویسندگان
چکیده
This paper presents an accurate and efficient traffic state detection system that is implemented on smart cameras. Our video analysis method employs feature tracking and edge information along with the camera calibration parameters for periodic level of service (LOS) measurements. After a calibration using the known lengths of lane markings, the smart cameras perform the LOS estimation onboard and report any change in the observed traffic state to a traffic information system. Architecture of the onboard system and video detection methods are introduced in this paper. Evaluation results indicate a detection precision of more than 95% for stationary traffic.
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