Object Tracking Using Siamese Network-Based Reinforcement Learning

Object Tracking Using Siamese Network-Based Reinforcement Learning

Object tracking is a technique for tracking a specific object appearing in a video sequence while observing its features or changes. Recently, many algorithms showing high performance have emerged by applying the Siamese network to the object tracking field. A Siamese network is designed to learn th...

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Bibliographic Details
Main Authors: Sung Jun Park, Seung Jun Hwang, Joong-Hwan Baek
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Object tracking
Siamese network
region proposal network
reinforcement learning
dynamic template exchange
Online Access:https://ieeexplore.ieee.org/document/9794996/

Internet

https://ieeexplore.ieee.org/document/9794996/

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