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Visual Tracking Based on Extreme Learning Machine and Sparse Representation

The existing sparse representation-based visual trackers mostly suffer from both being time consuming and having poor robustness problems. To address these issues, a novel tracking method is presented via combining sparse representation and an emerging learning technique, namely extreme learning mac...

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Main Authors: Baoxian Wang, Linbo Tang, Jinglin Yang, Baojun Zhao, Shuigen Wang
Format: Artigo
Language:Inglês
Published: MDPI AG 2015-10-01
Series:Sensors
Subjects:
visual tracking
extreme learning machine
sparse representation
manifold learning
accelerated proximal gradient
Online Access:http://www.mdpi.com/1424-8220/15/10/26877
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