Improved Action-Decision Network for Visual Tracking With Meta-Learning

Improved Action-Decision Network for Visual Tracking With Meta-Learning

Visual tracking is a challenging problem since it usually faces adverse factors, such as object deformation, fast motion, occlusion, and background clutter in practical applications. Reinforcement learning based Action-Decision Network (ADNet) has shown great potential for object tracking. However,...

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Bibliographic Details
Main Authors: Detian Huang, Lingke Kong, Jianqing Zhu, Lixin Zheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Image processing
visual tracking
reinforcement learning
meta-learning
multi-domain training
Online Access:https://ieeexplore.ieee.org/document/8808847/

Internet

https://ieeexplore.ieee.org/document/8808847/

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