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Current Doppler radar speed measurement systems lack the ability to distinguish multiple targets within the microwave beamwidth. In this paper, a traffic surveillance system is presented that is capable of automatically monitoring vehicle speeds on roadways using sensor fusion on data acquired from a calibrated video camera and a continuous wave Doppler radar. The time-frequency resolution of the radar signal is improved by employing the method of time-frequency reassignment. Then, the 3D tracking information obtained from the calibrated video camera is augmented by the more accurate information from the Doppler radar to produce a position and velocity track of the targets within the surveillance region.