Fire Detection on Video Using ViBe Algorithm and LBP-TOP
Dublin Core
Title
Fire Detection on Video Using ViBe Algorithm and LBP-TOP
Subject
fire detection, ViBe algorithm, local binary pattern-three orthogonal planes, support vector machine
Description
In this research, we built a system to detect fire using the ViBe (Visual Background Extractor) algorithm to extract dynamic
targets. The ViBe algorithm is better at detecting moving target objects such as flame combustion. In this research we combined
the ViBe algorithm with three frame differencing to gain better results on movement object. The HSI color space model was
applied after the movement object was obtained. We used Local Binary Pattern-Three Orthogonal Planes to obtain the feature
extraction to be classified with Support Vector Machine. Our result has shown that the proposed system were able to
detect the fire using the LBP-TOP and ViBe algorithm methods with an average accuracy rate of 88.10%, and the
best accuracy was 90.37%. The parameters used to achieve this accuracy in the feature extraction process were
T=120, Radius=2, and frame gap=15, then the threshold value parameter for three-frame difference parameter
was 25.
targets. The ViBe algorithm is better at detecting moving target objects such as flame combustion. In this research we combined
the ViBe algorithm with three frame differencing to gain better results on movement object. The HSI color space model was
applied after the movement object was obtained. We used Local Binary Pattern-Three Orthogonal Planes to obtain the feature
extraction to be classified with Support Vector Machine. Our result has shown that the proposed system were able to
detect the fire using the LBP-TOP and ViBe algorithm methods with an average accuracy rate of 88.10%, and the
best accuracy was 90.37%. The parameters used to achieve this accuracy in the feature extraction process were
T=120, Radius=2, and frame gap=15, then the threshold value parameter for three-frame difference parameter
was 25.
Creator
Febryanti Sthevanie1
, Gamma Kosala2
, Kurniawan Nur Ramadhani3
, Ketut Sudyatmika Putra4
, Gamma Kosala2
, Kurniawan Nur Ramadhani3
, Ketut Sudyatmika Putra4
Publisher
Telkom University
Date
27-12-2022
Contributor
Fajar bagus W
Format
PDF
Language
Indonesia
Type
Text
Files
Collection
Citation
Febryanti Sthevanie1
, Gamma Kosala2
, Kurniawan Nur Ramadhani3
, Ketut Sudyatmika Putra4, “Fire Detection on Video Using ViBe Algorithm and LBP-TOP,” Repository Horizon University Indonesia, accessed June 27, 2025, https://repository.horizon.ac.id/items/show/9273.