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Smart city article details

Title	Towards Real Time Vehicle Counting Using Yolo-Tiny And Fast Motion Estimation
ID_Doc	58268
Authors	Oltean G.; Florea C.; Orghidan R.; Oltean V.
Year	2019
Published	SIITME 2019 - 2019 IEEE 25th International Symposium for Design and Technology in Electronic Packaging, Proceedings
DOI	http://dx.doi.org/10.1109/SIITME47687.2019.8990708
Abstract	Real-time vehicle detection, tracking and counting from surveillance cameras is a main part for many applications in smart cities. Usually, this task encounters some problems in practice, like the lack of real-time processing of the videos or the errors in detection and/or tracking. In this paper we propose an approach for real time vehicle counting by using Tiny YOLO for detection and fast motion estimation for tracking. Our application is running in Ubuntu with GPU processing, and the next step is to test it on low-budget devices, as Jetson Nano. Experimental results show that our approach achieves high accuracy at real time speed (33.5 FPS) on real traffic videos. © 2019 IEEE.
Author Keywords	GPU processing; motion estimation; real time processing; Tiny YOLO; vehicle counting

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