United States Department of Transportation
i
Opportunistic Traffic Sensing Using Existing Video Sources (Phase II) [2017]
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2017-02-01
[PDF-994.57 KB]
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Abstract:The purpose of the project reported on here was to investigate methods for automatic traffic sensing using traffic surveillance
cameras, red light cameras, and other permanent and pre-existing video sources. Success in this direction would potentially yield
the ability to produce continuous, daily traffic counts where such video sources exist, as compared to the occasional traffic
studies performed today.
The methods investigated come from the field of computer vision, including optical flow, background subtraction, and object
detection and tracking, as well as control theory for the fusing of the results of these methods. Our system outperforms the state
of the art in vehicle tracking, and it runs at faster frame rate. More work remains in improving robustness to occlusion and to
improve accuracy of nighttime imagery. Our work on rigid motion optical flow was published in the proceedings of the
International Conference on 3D Vision, and our work on vehicle tracking is currently under submission to the IEEE Winter
Conference on Applications of Computer Vision.
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