IEEE Spectrum
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Vehicle Segmentation and Tracking from a Low-Angle Off-Axis Camera
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Improving the readability of time-frequency and time-scalerepresentations by the reassignment method
IEEE Transactions on Signal Processing
Hi-index | 0.98 |
Current Continuous Wave (CW) Doppler radar speed measurement systems lack the ability to distinguish multiple targets. Most systems can only identify the strongest (closest) target or the fastest target. In this paper, a traffic surveillance system is presented that is capable of automatically monitoring all vehicle speeds on roadways using sensor fusion on data acquired from a video camera and a CW Doppler radar. First, a higher time-frequency resolution of the radar signal (than a standard FFT) is obtained by employing the method of time-frequency reassignment. Then, the 3D tracking information obtained from the calibrated video camera is fused with the more accurate information from the Doppler radar to produce a position and velocity track of the targets within the surveillance region.