LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation

LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation

Given a video sequence acquired from a fixed camera, the stationary background generation problem consists of generating a unique image estimating the stationary background of the sequence. During the IEEE Scene Background Modeling Contest (SBMC) organized in 2016, we presented the LaBGen-P method....

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Bibliographic Details
Main Authors: Benjamin Laugraud, Sébastien Piérard, Marc Van Droogenbroeck
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Journal of Imaging
Subjects:
background initialization
background generation
motion detection
background subtraction
semantic segmentation
scene parsing
Online Access:http://www.mdpi.com/2313-433X/4/7/86

Internet

http://www.mdpi.com/2313-433X/4/7/86

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