LPCF: Robust Correlation Tracking via Locality Preserving Tracking Validation

LPCF: Robust Correlation Tracking via Locality Preserving Tracking Validation

In visual tracking, the tracking model must be updated online, which often leads to undesired inclusion of corrupted training samples, and hence inducing tracking failure. We present a locality preserving correlation filter (LPCF) integrating a novel and generic decontamination approach, which mitig...

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Bibliographic Details
Main Authors: Yixuan Zhou, Weimin Zhang, Yongliang Shi, Ziyu Wang, Fangxing Li, Qiang Huang
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
object tracking
correlation filter
decontamination
model drift
locality preserving
Online Access:https://www.mdpi.com/1424-8220/20/23/6853

Internet

https://www.mdpi.com/1424-8220/20/23/6853

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