Robust Background Subtraction via the Local Similarity Statistical Descriptor

Robust Background Subtraction via the Local Similarity Statistical Descriptor

Background subtraction based on change detection is the first step in many computer vision systems. Many background subtraction methods have been proposed to detect foreground objects through background modeling. However, most of these methods are pixel-based, which only use pixel-by-pixel compariso...

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Bibliographic Details
Main Authors: Dongdong Zeng, Ming Zhu, Tongxue Zhou, Fang Xu, Hang Yang
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Applied Sciences
Subjects:
background subtraction
locality-sensitive histograms
local similarity statistical descriptor
video surveillance
Online Access:https://www.mdpi.com/2076-3417/7/10/989

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