A Multi-Object Tracking Algorithm With Center-Based Feature Extraction and Occlusion Handling-Reference-Cited by-同舟云学术

A Multi-Object Tracking Algorithm With Center-Based Feature Extraction and Occlusion Handling

Published:2023-04 Issue:4 Volume:24 Page:4464-4473
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Cao Zhengcai¹^ORCID,Li Junnian¹^ORCID,Zhang Dong¹^ORCID,Zhou Mengchu²^ORCID,Abusorrah Abdullah³^ORCID

Affiliation:

1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

3. K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Ministry of Education and Deanship of Scientific Research (DSR), King Abdulaziz University (KAU), Jeddah, Saudi Arabia via Institutional Fund Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10086684/09999157.pdf?arnumber=9999157

Reference49 articles.

1. Distributed Multi-Target Tracking in Camera Networks

2. FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking

3. Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths

4. TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM

5. Tracking Without Bells and Whistles

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