LMOT: Efficient Light-Weight Detection and Tracking in Crowds-Reference-Cited by-同舟云学术

LMOT: Efficient Light-Weight Detection and Tracking in Crowds

Author:

Mostafa Rana¹^ORCID,Baraka Hoda¹,Bayoumi Abdelmoniem¹^ORCID

Affiliation:

1. Department of Computer Engineering, Faculty of Engineering, Cairo University, Giza, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference36 articles.

1. MOT20: A benchmark for multi object tracking in crowded scenes;dendorfer;arXiv 2003 09003,2020

2. MOT16: A benchmark for multi-object tracking;milan;arXiv 1603 00831 [cs],2016

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2. DETrack: Multi-Object Tracking Algorithm Based on Feature Decomposition and Feature Enhancement;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2024-09-01

3. Adj-MOT: Multi-object Tracking by ReID with Adjacent Frame Enhancement;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Staged multi-target tracking and matching algorithm combined with depth estimation information;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13