Self calibrating monocular camera measurement of traffic parameters.
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2009-12-01
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Edition:Final research report.
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Abstract:This proposed project will extend the work of previous projects that have developed algorithms and software ; to measure traffic speed under adverse conditions using un-calibrated cameras. The present implementation ; uses the WSDOT CCTV cameras mounted along freeway segments and has an interface for automated camera ; calibration and traffic speed and speed variance measuring and recording. The calibration algorithm is ; implemented as an operator in a pipelined architecture using the Java Advanced Imaging package. The ; algorithm uses features found on the freeway, such as fog lines and lane markers, to calibrate the camera. ; Arterials have different features, such as turn arrows and stop bars, that can be used for calibration. This effort ; will develop algorithms that calibrates cameras based on common features found on arterials and will ; implement the algorithm as a Java operator so that it extends the capabilities of the software to arterials. The ; result will be a portable system that can function on both freeways and arterials with only limited infrastructure ; investment. The utility of this project is to leverage existing software to make traffic parameter measurements ; on arterials where there are no loops, and to calibrate traffic measurement and management devices using these ; measurements.
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Main Document Checksum:urn:sha256:90a6ab3ced08583d60fa4d72a2bfa6ccd7062dad1ccc5096d6f5039159648a73