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We describe a novel system for vehicle speed estimation from videos captured in urban roadways. Our system uses text detection to locate the license plates ...
May 6, 2014 · In this paper, we propose a nonintrusive video-based system for vehicle speed measurement in urban roadways. Our system uses an optimized motion ...
Each vehicle's speed is then estimated by tracking the license plates and applying geometric transformations.
Vehicle speed is estimated by comparing the trajectory of the tracked features to known real world measures. For our tests, we used almost five hours of videos ...
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms.
We describe a novel system for vehicle speed estimation from videos captured in urban roadways. Our system uses text detection to locate the license plates of ...
For each vehicle we use a license plate detector to extract the corresponding pixels for the four corners of the license plate (LP), and we use the known ...
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms.
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Dec 2, 2019 · In this tutorial, you will learn how to use OpenCV and Deep Learning to detect vehicles in video streams, track them, and apply speed estimation.