Moving Multi-Object Detection and Tracking Using MRNN and PS-KM Models-Reference-Cited by-同舟云学术

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Moving Multi-Object Detection and Tracking Using MRNN and PS-KM Models

Published:2023 Issue:2 Volume:44 Page:1807-1821
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Premanand V.,Kumar Dhananjay

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/v44n2/48280/pdf

Reference27 articles.

1. Multi-object tracking using multi-channel part appearance representation;Anh,2017

2. Distractor-aware discrimination learning for online multiple object tracking;Zhou;Pattern Recognition,2020

3. Towards multi-object detection and tracking in urban scenario under uncertainties;Kampker,2018

4. Multi-object tracking using online metric learning with long short-term memory;Wan,2018

5. Online layered multiple object tracking using residual-residual networks;Jiang,2019

Cited by 5 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. Construction of Multi-direction Intelligent Detection System for Moving Objects Based on Computer Technology;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01

2. An artificial intelligence model based on multi-step feature engineering and deep attention network for optical network performance monitoring;Optik;2023-02

3. Accelerate Single Image Super-Resolution Using Object Detection Process;Computers, Materials & Continua;2023

4. Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives;Chemosphere;2023-01

5. Exploring the Application of Vibration Analysis Technology in the Medical Field;Journal of Biosciences and Medicines;2023

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