Background Subtraction Based on Random Superpixels Under Multiple Scales for Video Analytics

Background Subtraction Based on Random Superpixels Under Multiple Scales for Video Analytics

Background subtraction is a fundamental problem of computer vision, which is usually the first step of video analytics to extract the interesting region. Most previously available region-based background subtraction methods ignore the similarity between the pixels, meaning that the information gaine...

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Bibliographic Details
Main Authors: Weitao Fang, Tingting Zhang, Chenqiu Zhao, Danyal Badar Soomro, Rizwan Taj, Haibo Hu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Computer vision
motion detection
background subtraction
video segmentation
pattern recognition
Online Access:https://ieeexplore.ieee.org/document/8382168/

Internet

https://ieeexplore.ieee.org/document/8382168/

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