Deep Reinforcement Learning Object Tracking Based on Actor-Double Critic Network

Deep Reinforcement Learning Object Tracking Based on Actor-Double Critic Network

Aiming at the problem of poor tracking robustness caused by severe occlusion, deformation, and object rotation of deep learning object tracking algorithm in complex scenes, an improved deep reinforcement learning object tracking algorithm based on actor-double critic network is proposed. In offline...

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Bibliographic Details
Main Authors: Jing Xin, Jianglei Zhou, Xinhong Hei, Pengyu Yue, Jia Zhao
Format: Article
Language:English
Published: Tsinghua University Press 2023-12-01
Series:CAAI Artificial Intelligence Research
Subjects:
object tracking
deep reinforcement learning
actor-double critic network
Online Access:https://www.sciopen.com/article/10.26599/AIR.2023.9150013

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