A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
A Real-time Computer Vision System for Measuring Traffic Parameters
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
TRICam - An Embedded Platform for Remote Traffic Surveillance
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
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This paper presents a stereo-based system for measuring traffic on motorways. To achieve real-time performance, the system exploits a decentralized architecture composed of a pair of smart cameras fixed over the road and connected via network to an embedded industrial PC on the side of the road. Different features (Harris corners and edges) are detected on the two images and matched together with local matching algorithm. The resulting 3D points cloud is processed by maximum spanning tree clustering algorithm to group the points into vehicle objects. Bounding boxes are defined for each detected object, giving an approximation of the vehicles 3D sizes. The system presented here has been validated manually and gives over 90% of good detection accuracy at 20-25 frames/s.