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Speed Estimation Using Stereoscopic Effect

Authors: François Bourzeix; Omar Bourja; Mohammed Ayoub Boukhris; Najia Es-Sbai;

Speed Estimation Using Stereoscopic Effect

Abstract

This work is part of developing a new type of radars which is based on stereoscopic effect obtained by using two cameras. The main work is to develop an algorithm for speed estimation. We begin by detecting motions and tracking vehicles in order to identify the vehicle in the next frame. Stereoscopic pictures allow us to calculate the distance from the cameras to the chosen object within the picture. The distance is calculated from differences between the pictures and by using intrinsic and extrinsic cameras' parameters. The object is selected on the left picture, while the same object on the right picture is automatically detected by calculating the cross-correlation's score between both pictures. The object's position can be calculated by doing some geometrical derivations. The speed is estimated by calculating the slope of the distances estimated in several frames. The accuracy of the position depends on picture resolution, optical distortions and distance between the cameras.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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