Smoke detection from foggy environment based on color spaces

Mehmet Erdal ÖZBEK; Uğur Emre YILDIZ

doi:https://doi.org/10.18100/ijamec.973440

Makale detayları

Smoke detection from foggy environment based on color spaces

Yazarlar:

Mehmet Erdal ÖZBEK | Uğur Emre YILDIZ

Yayıncı:

Selcuk University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Applied Mathematics Electronics and Computers 2021 Vol.9 Issue 3, pp.72-78

Belge Tipi:

Makale

Yayın Tarihi:

9/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000475689

Sıklık:

Üç Aylık

eISSN:

2147-8228

pISSN:

2147-8228

DOI:

https://doi.org/10.18100/ijamec.973440

Özet:

 

Detection of smoke from videos captured by surveillance cameras in outdoor environments is one of the useful outcome of Internet of Things (IoT) applications. The potential benefit increases when deep learning (DL) architectures are involved. However, an inherent difficulty is to detect smoke while natural events like fog exists. The effectiveness of color spaces in detection performance has not yet fully evaluated in those architectures. Moreover, the energy and memory requirements of DL architectures may not be applicable for handling IoT implementation demands. Therefore, in this work, a DL architecture with a suitable color space model, applicable for IoT implementations is proposed to detect smoke from videos in foggy environment. By collecting several videos including smoke samples, the performance comparison of popular and the state-of-the-art DL architectures denoted the outperforming result according to both accuracy and memory usage.

Makale detayları

Smoke detection from foggy environment based on color spaces

Yazarlar: Mehmet Erdal ÖZBEK | Uğur Emre YILDIZ

Yayıncı: Selcuk University

Ana Başlıklar: Uygulamalı fizik

Dergi: International Journal of Applied Mathematics Electronics and Computers 2021 Vol.9 Issue 3, pp.72-78

Belge Tipi: Makale

Yayın Tarihi: 9/2021

Belge Dili: İngilizce

Document ID (Org No.): 2000475689

Sıklık: Üç Aylık

eISSN: 2147-8228

pISSN: 2147-8228

DOI: https://doi.org/10.18100/ijamec.973440

Sayı

Yazarlar:

Mehmet Erdal ÖZBEK | Uğur Emre YILDIZ

Yayıncı:

Selcuk University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Applied Mathematics Electronics and Computers 2021 Vol.9 Issue 3, pp.72-78

Belge Tipi:

Makale

Yayın Tarihi:

9/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000475689

Sıklık:

Üç Aylık

eISSN:

2147-8228

pISSN:

2147-8228

DOI:

https://doi.org/10.18100/ijamec.973440