An Improved Kernelized Correlation Filter Algorithm for Underwater Target Tracking

An Improved Kernelized Correlation Filter Algorithm for Underwater Target Tracking

To obtain accurate underwater target tracking results, an improved kernelized correlation filter (IKCF) algorithm is proposed to track the target in forward-looking sonar image sequences. Specifically, a base sample with a dynamically continuous scale is first applied to solve the poor performance o...

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Bibliographic Details
Main Authors: Xingmei Wang, Guoqiang Wang, Zhonghua Zhao, Yue Zhang, Binghua Duan
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Applied Sciences
Subjects:
kernelized correlation filter algorithm
forward looking sonar
underwater target
target tracking
Online Access:https://www.mdpi.com/2076-3417/8/11/2154

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