FSTrack: One-Shot Multi-Object Tracking Algorithm Based on Feature Enhancement and Similarity Estimation-Reference-Cited by-同舟云学术

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FSTrack: One-Shot Multi-Object Tracking Algorithm Based on Feature Enhancement and Similarity Estimation

Published:2024 Issue: Volume:31 Page:775-779
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

He Botong¹^ORCID,Yuan Liang²^ORCID,Lv Kai¹^ORCID

Affiliation:

1. School of Mechanical Engineering, Xinjiang University, Urumqi, China

2. Beijing Advanced Innovation Center for Soft Matter Science and Engineering, and College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

Funder

National Natural Science Foundation of China

Key Research and Development Projects of Xinjiang Uygur Autonomous Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/97/10380231/10452753.pdf?arnumber=10452753

Reference41 articles.

1. Multi-Task Learning for Dense Prediction Tasks: A Survey

2. SPRTracker: Learning Spatial-Temporal Pixel Aggregations for Multiple Object Tracking

3. AOH: Online Multiple Object Tracking With Adaptive Occlusion Handling

4. A Multi-Target Track-Before-Detect Particle Filter Using Superpositional Data in Non-Gaussian Noise

5. Semi-Online Multiple Object Tracking Using Graphical Tracklet Association

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