Video object segmentation via adaptive threshold based on background model diversity-Reference-Cited by-同舟云学术

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Video object segmentation via adaptive threshold based on background model diversity

Published:2015-03-04 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
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Author:

Boubekeur Mohamed Bachir,Luo SenLin,Labidi Hocine,Benlefki Tarek

Publisher

SPIE

Reference11 articles.

1. Non-parametric model for background subtraction;Elgammal,2000

2. Robust techniques for background subtraction in urban traffic video;Cheung,2004

3. Comparative study of background subtraction algorithms

4. ViBe: a powerful random technique to estimate the background in video sequences;Barnich,2009

5. ViBe: A Universal Background Subtraction Algorithm for Video Sequences

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1. Comparative Analysis of Movement Segmentation Techniques in Untrimmed Videos Using Optical Flow and Frame Differencing Using the $1 Unistroke Recognizer;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

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