UMOTMA: Underwater multiple object tracking with memory aggregation

UMOTMA: Underwater multiple object tracking with memory aggregation

Underwater multi-object tracking (UMOT) is an important technology in marine animal ethology. It is affected by complex factors such as scattering, background interference, and occlusion, which makes it a challenging computer vision task. As a result, the stable continuation of trajectories among di...

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Bibliographic Details
Main Authors:	Zhicheng Hao, Jun Qiu, Haimiao Zhang, Guangbo Ren, Chang Liu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-11-01
Series:	Frontiers in Marine Science
Subjects:	artificial intelligence underwater multiple object tracking marine environment long-short term memory vision transformer
Online Access:	https://www.frontiersin.org/articles/10.3389/fmars.2022.1071618/full

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