Multiple Object Tracking through Background Learning-Reference-Cited by-同舟云学术

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Multiple Object Tracking through Background Learning

Published:2023 Issue:1 Volume:44 Page:191-204
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Sharma Deependra,Abdin Jaffery Zainul

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v44n1/48032/pdf

Reference30 articles.

1. Trajectory-based surveillance analysis: A Survey;Ahmed;Circuits and Systems for Video Technology,2019

2. On pairwise costs for network flow multi-object tracking;Chari,2015

3. Deep network flow for multi-object tracking;Schulter,2017

4. Lifted disjoint paths with application in multiple object tracking;Hornakova,2020

5. Optimal coverage control and stochastic multi-target tracking;Khaledyan,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimized Deep LSTM-Based Multi-Object Tracking with Occlusion Handling Mechanism;International Journal of Pattern Recognition and Artificial Intelligence;2024-08-09

2. Four mathematical modeling forms for correlation filter object tracking algorithms and the fast calculation for the filter;Electronic Research Archive;2024

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