RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks-Reference-Cited by-同舟云学术

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RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Real-Time Systems Symposium (RTSS)
language:
Short-container-title:

Author:

Kang Donghwa¹,Lee Seunghoon²,Chwa Hoon Sung³,Bae Seung-Hwan⁴,Kang Chang Mook⁵,Lee Jinkyu²,Baek Hyeongboo¹

Affiliation:

1. Incheon National University (INU),Dept. of Computer Science and Engineering,Republic of Korea

2. Sungkyunkwan University (SKKU),Dept. of Computer Science and Engineering,Republic of Korea

3. DGIST,Dept. of Electrical Engineering and Computer Science,Republic of Korea

4. Inha University,Dept. of Computer Engineering,Republic of Korea

5. Incheon National University (INU),Dept. of Electrical Engineering,Republic of Korea

Funder

National Research Foundation of Korea (NRF)

Institute of Information & communications Technology Planning & Evaluation (IITP)

DGIST R&D Program of MSIT

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9984704/9984706/09984748.pdf?arnumber=9984748

Reference24 articles.

1. Non-preemptive and limited preemptive scheduling;chen;Lecture Note in TU Dortmund,2017

2. Real-Time Object Detection System with Multi-Path Neural Networks

3. Feasibility Analysis under Fixed Priority Scheduling with Fixed Preemption Points

4. SubFlow: A Dynamic Induced-Subgraph Strategy Toward Real-Time DNN Inference and Training

5. Omni-Scale Feature Learning for Person Re-Identification

Cited by 3 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. Novas: Tackling Online Dynamic Video Analytics With Service Adaptation at Mobile Edge Servers;IEEE Transactions on Computers;2024-09

2. MOT-AS: Real-Time Scheduling Framework for Multi-Object Tracking Capturing Accuracy and Stability;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

3. Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing;Real-Time Systems;2023-06

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