Data driven visual tracking via representation learning and online multi‐class LPBoost learning

Visual object tracking is a challenging task due to two intractable problems: visual appearance representation and online update model. Existing approaches often operate appearance model based on hand‐crafted features with discriminative feature selection. The tracking learning model is formulated a...

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Bibliographic Details
Main Authors: Xian Yang, Shoujue Wang
Format: Article
Language:English
Published: Wiley 2016-02-01
Series:IET Computer Vision
Subjects:
Online Access:https://doi.org/10.1049/iet-cvi.2014.0388