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Visual tracking algorithm based on robust PCA

Published in Guangdian gongcheng • Jul 30, 2020
NobleIDNI6P92W13R38S84
Authors:
Yue Chenchen
,
Zhiqiang Hou
,
Wangsheng Yu

Abstract

At present, several mainstream algorithms using color name (CN) all adopt Principal Component Analysis (PCA) to process the feature. However, PCA assumes that the noise of input data must obey Gaussian distribution, which is a conspicuous defect. Aim to address this problem, in this paper, we take R...

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