Learning Local–Global Multiple Correlation Filters for Robust Visual Tracking with Kalman Filter Redetection

Learning Local–Global Multiple Correlation Filters for Robust Visual Tracking with Kalman Filter Redetection

Visual object tracking is a significant technology for camera-based sensor networks applications. Multilayer convolutional features comprehensively used in correlation filter (CF)-based tracking algorithms have achieved excellent performance. However, there are tracking failures in some challenging...

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Bibliographic Details
Main Authors: Jianming Zhang, Yang Liu, Hehua Liu, Jin Wang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
object tracking
correlation filter
convolutional neural networks
local–global collaborative strategy
Kalman filter
Online Access:https://www.mdpi.com/1424-8220/21/4/1129

Internet

https://www.mdpi.com/1424-8220/21/4/1129

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