MAT: Motion-aware multi-object tracking-Reference-Cited by-同舟云学术

MAT: Motion-aware multi-object tracking

Published:2022-03 Issue: Volume:476 Page:75-86
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Han Shoudong,Huang Piao,Wang Hongwei,Yu En,Liu Donghaisheng,Pan Xiaofeng

Funder

Huazhong University of Science and Technology

China Scholarship Council

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference51 articles.

1. Anton, M.; Laura, L.-T.; Ian, R.; Stefan, R.; and Konrad, S. 2016. MOT16: A benchmark for multi-object tracking. arXiv preprint arXiv: 1603.00831[cs.CV]. Ithaca, NY: Cornell University Library.

2. Tracking without bells and whistles;Bergmann,2019

3. Bernardin, K., and Stiefelhagen, R. 2008. Evaluating multiple object tracking performance: The CLEAR MOT metrics. EURASIP J. Image Vide. doi:10.1155/2008/246309.

4. Simple online and realtime tracking;Bewley,2016

5. Learning a neural solver for multiple object tracking;Brasó,2020

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