Lightweight Particle Filter for Robust Visual Tracking

Lightweight Particle Filter for Robust Visual Tracking

Particle-filter-based methods have made significant contributions to achieve robust visual tracking over the past few years. Although these tracking algorithms achieve superior performance, their real-time application has typically been hindered by the high computational burden attributed to the sam...

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Bibliographic Details
Main Authors: Shengjie Li, Shuai Zhao, Bo Cheng, Erhu Zhao, Junliang Chen
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Object tracking
correlation filter
particle filter
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/8382153/

Internet

https://ieeexplore.ieee.org/document/8382153/

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