Multitarget Occlusion Tracking With 3-D Spatio-Temporal Context Graph Model-Reference-Cited by-同舟云学术

Multitarget Occlusion Tracking With 3-D Spatio-Temporal Context Graph Model

Published:2023-09-15 Issue:18 Volume:23 Page:21631-21639
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wan Qin¹^ORCID,Lv Ruifeng²^ORCID,Xiao Yueping²,Li Zhi²^ORCID,Zhu Xiaolin³^ORCID,Wang Yaonan⁴^ORCID,Liu Haiqiao²^ORCID,Zeng Zilong⁵

Affiliation:

1. College of Electric and Information Engineering, Hunan Institute of Engineering, Xiangtan, China

2. School of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, China

3. School of Mathematics and Computational Science, Xiangtan University, Xiangtan, China

4. College of Electrical and Information Engineering and the National Engineering Research Center for Robot Visual Perception and Control Technology, Hunan University, Changsha, China

5. Shanghai Institute of Spaceflight Technology, Shanghai, China

Funder

National Natural Science Foundation of China

Foundation Project for Distinguished Young Scholars of Hunan Province

Key Research and Development Projects of Hunan Province

General Project of Hunan Natural Science Foundation

Graduate Research Innovation Projects of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10251409/10217164.pdf?arnumber=10217164

Reference31 articles.

1. Multiple Object Tracking with Correlation Learning

2. Multi-target occlusion tracking algorithm employing RGB-D spatio-temporal context model;wan;Control Theory Appl,2021

3. Improved KCF tracking algorithm based on anti-occlusion and scale transformation;chen;Control Decis,2021

4. Deep Spatial and Temporal Network for Robust Visual Object Tracking

5. Tracking Revisited Using RGBD Camera: Unified Benchmark and Baselines