Comparative study of motion detection methods for video surveillance systems

The objective of this study is to compare several change detection methods for a mono static camera and identify the best method for different complex environments and backgrounds in indoor and outdoor scenes. To this end, we used the CDnet video dataset as a benchmark that consists of many challeng...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2018-04
Main Authors: Sehairi, Kamal, Chouireb Fatima, Meunier, Jean
Format: Article
Language:English
Subjects:
Change detection
Comparative studies
Identification methods
Indoor environments
Methods
Motion perception
Performance measurement
Surveillance systems
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The objective of this study is to compare several change detection methods for a mono static camera and identify the best method for different complex environments and backgrounds in indoor and outdoor scenes. To this end, we used the CDnet video dataset as a benchmark that consists of many challenging problems, ranging from basic simple scenes to complex scenes affected by bad weather and dynamic backgrounds. Twelve change detection methods, ranging from simple temporal differencing to more sophisticated methods, were tested and several performance metrics were used to precisely evaluate the results. Because most of the considered methods have not previously been evaluated on this recent large scale dataset, this work compares these methods to fill a lack in the literature, and thus this evaluation joins as complementary compared with the previous comparative evaluations. Our experimental results show that there is no perfect method for all challenging cases, each method performs well in certain cases and fails in others. However, this study enables the user to identify the most suitable method for his or her needs.
ISSN:2331-8422
DOI:10.48550/arxiv.1804.05459