Enhanced YOLOV5-LSTM Framework for Multi-Object Detection and Tracking in Surveillance Videos

Iranian Journal of Science and Technology Transactions of Electrical Engineering 2026

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Authors: G. Priyadharshini, P. Ponni, Sukanya Varshini
DOI: 10.1007/s40998-025-01013-y
Cited by: 3
References: 35

Fields of Study & Subjects

Video Surveillance and Tracking Methods Advanced Neural Network Applications Advanced Technologies in Various Fields

Publication details

Journal / source
Iranian Journal of Science and Technology Transactions of Electrical Engineering
Publisher
Springer Science and Business Media LLC
Volume
50
Issue
2
Pages
853–873
Publication date
27 January 2026
Language
EN