Developing a Framework for Vehicle Detection, Tracking and Classification in Traffic Video Surveillance
Published in International Conference on Optimization and Applications (ICO 2020), 2020
This work proposes a framework for intelligent traffic video surveillance using vehicle detection, tracking, and classification techniques. The system aims to improve automated traffic monitoring and analysis through computer vision–based approaches.
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Recommended citation: Rumi Saha, Tanusree Debi, Mohammad Shamsul Arefin. Developing a Framework for Vehicle Detection, Tracking and Classification in Traffic Video Surveillance. ICO 2020.
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