Maximum margin object tracking with weighted circulant feature maps

Maximum margin object tracking with weighted circulant feature maps

Support vector machine (SVM) based tracking algorithms training with dense circulant samples have shown favourable performance due to its strong discriminative power and high efficiency. However, the challenges caused by the circulant sampling remain unaddressed. In this study, the authors give each...

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Bibliographic Details
Main Authors: Long Gao, Yunsong Li, Jifeng Ning
Format: Article
Language:English
Published: Wiley 2019-02-01
Series:IET Computer Vision
Subjects:
weighted circulant training samples
efficient solution
circulant matrices
model update strategy
tracking models
wrong samples
Online Access:https://doi.org/10.1049/iet-cvi.2018.5138

Internet

https://doi.org/10.1049/iet-cvi.2018.5138

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