Estimating Vehicle Velocity Using Image Profiles on Rectified Images

Authors:
Cristina Maduro;Katherine Batista;Jorge Batista
Affiliations:
ISR-Institute of Systems and Robotics, Department of Electrical Engineering, FCTUC, University of Coimbra, Coimbra, Portugal;ISR-Institute of Systems and Robotics, Department of Electrical Engineering, FCTUC, University of Coimbra, Coimbra, Portugal;ISR-Institute of Systems and Robotics, Department of Electrical Engineering, FCTUC, University of Coimbra, Coimbra, Portugal
Venue:
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Year:
2009

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Abstract

In this paper a technique is presented to estimate vehicle velocity using intensity profiles. This technique does not require background estimation or even the identification and tracking of individual vehicles. On the other hand, it requires the estimation of virtual images that represent a bird eye view of the scenario. This is achieved estimating an homography assuming that each lane on the image is parallel on the ground plane. To each rectified lane, an intensity profile is computed along the traffic flow direction for each frame, obtaining an image that represents the displacement as a time function. The main idea is to search for the best matching profile for different times and spaces on each lane, consequently obtaining the velocity profile.