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This paper presents a novel, deterministic framework to extract the traffic state of an intersection with high reliability and in real-time. The multiple video cameras and inductive loops at the intersection are fused on a common plane which consists of a satellite map. The sensors are registered from a CAD map of the intersection that is aligned on the satellite map. The cameras are calibrated to...
Focusing on the problem that the detection accuracy of traffic detection system is sensitive to the changes of complex environments, this paper presents an improved method of vehicle detection. It builds and updates the background adaptively. Additionally, to improve the computation efficiency of shadow elimination, a fast algorithm of neighbor mean based on HSV model is proposed. As the occlusion...
We present here a prototype of an algorithm for vehicle speed estimation. Different from previous approaches, our algorithm requires no road markers and fewer manual calibrations. Based on specific projection rules, we find a relation between the in-camera coordinate and the real world coordinate. A non-linear regression is employed to estimate the model parameters. This model enables us to estimate...
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