TF-SASM: Training-free Spatial-aware Sparse Memory for Multi-object Tracking-Reference-Cited by-同舟云学术

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TF-SASM: Training-free Spatial-aware Sparse Memory for Multi-object Tracking

Published:2024-08-15 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)
language:
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Author:

Nguyen-Quang Thuc¹,Tran Minh-Triet²

Affiliation:

1. University of Science, VNU-HCM Viet Nam National University,Software Engineering Lab & John von Neumann Institute,Ho Chi Minh City

2. University of Science, VNU-HCM Viet Nam National University,Faculty of Information Technology Software Engineering Lab & John von Neumann Institute,Ho Chi Minh City

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10660665/10660652/10660850.pdf?arnumber=10660850

Reference28 articles.

1. Tracking Without Bells and Whistles

2. Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics

3. Simple online and realtime tracking

4. MeMOT: Multi-Object Tracking with Memory

5. Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

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