Fusion of Doppler Radar and video information for automated traffic surveillance

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.