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Erschienen in:
Formal Modeling of Cyber-Physical Systems: Lessons Learn from Refinement and Proof Based Methods Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

A Benchmark of Motion Detection Algorithms for Static Camera: Application on CDnet 2012 Dataset

verfasst von : Kamal Sehairi, Chouireb Fatima, Jean Meunier

Erschienen in: Advances in Computing Systems and Applications

Verlag: Springer International Publishing

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Abstract

The main aim behind this study relates to comparing a variety of motion detection methods for a mono static camera and it endeavors to identify the best method for different environments and complex backgrounds whether in indoor or outdoor scenes. For this reason, we used the CDnet 2012 video dataset as a benchmark that comprises numerous challenging problems, ranging from basic simple scenes to complex scenes affected by shadows and dynamic backgrounds. Eleven ranging from simple to complex motion detection methods are tested and several performance metrics are used to achieve a precise evaluation of the results. This study sets its objective to enable any user to identify the best method that suits his/her need.

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Metadaten
Titel
A Benchmark of Motion Detection Algorithms for Static Camera: Application on CDnet 2012 Dataset
verfasst von
Kamal Sehairi
Chouireb Fatima
Jean Meunier
Copyright-Jahr
2019
Buch
Advances in Computing Systems and Applications

Print ISBN: 978-3-319-98351-6

Electronic ISBN: 978-3-319-98352-3

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-98352-3_25