Real-time multi-vehicle detection and sub-feature based tracking for traffic surveillance systems
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
An algorithm to estimate mean traffic speed using uncalibrated cameras
IEEE Transactions on Intelligent Transportation Systems
Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation
IEEE Transactions on Intelligent Transportation Systems
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Video surveillance system is widely used in the current traffic monitoring system. Existing commercial image processing system works well in vehicle detection and tracking, but it has difficulties in vehicle classification if the camera is not calibrated. A priori camera calibration is used in many systems, which is a complicated process. In this paper, a very simple roadside camera calibration is proposed. Our algorithm is based on some reasonable assumptions, which only requires a traffic video for calibration. The camera is calibrated by estimating the lane boundaries and the vanishing point. Then the position in image coordinate is transformed to real-world reference systems. After calibration, the vehicles are classified by their lengths on the road. Finally, the performance of our classification approach is illustrated and discussed.