YOLOv5 Integrated With Recurrent Network for Object Tracking: Experimental Results From a Hardware Platform

Advances in object tracking integrate feature-based methods with modern deep learning. Initial object detection is crucial for continuous tracking. Still, challenges include establishing reliable data associations across frames amidst issues like motion blur, lighting variations, occlusions, and dif...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Mohammed Alameri, Qurban A. Memon
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Real-time object tracking recurrent network you look only once (YOLO)v5
Online Access:	https://ieeexplore.ieee.org/document/10634464/