Mask Sparse Representation Based on Semantic Features for Thermal Infrared Target Tracking

Mask Sparse Representation Based on Semantic Features for Thermal Infrared Target Tracking

Thermal infrared (TIR) target tracking is a challenging task as it entails learning an effective model to identify the target in the situation of poor target visibility and clutter background. The sparse representation, as a typical appearance modeling approach, has been successfully exploited in th...

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Bibliographic Details
Main Authors: Meihui Li, Lingbing Peng, Yingpin Chen, Suqi Huang, Feiyi Qin, Zhenming Peng
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
thermal infrared target tracking
semantic features
mask sparse representation
particle filter framework
ADMM
Online Access:https://www.mdpi.com/2072-4292/11/17/1967

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