Contour and Color Analysis to Improve Fire Detection Performance in Video Surveillance

Хамдамов, Рустам, Рахманов, Хошим, Сокиев, Темур, Бурибоев, Аброр, Султанов, Жамшид, Кобеева, Загира

Рақамли технологияларнинг назарий ва амалий масалалари · 2024-yil

Annotatsiya

Fire detection through CCTV systems is critical to quickly responding to fires and reducing potential hazards. In this study, we present an innovative approach to flame detection that uses shape analysis to improve the accuracy and reliability of fire detection mechanisms. Unlike traditional methods that rely solely on color characteristics to detect flames, our approach incorporates contour analysis to effectively distinguish real flames from environmental nuances. The approach includes two main algorithms: one is focused on recognizing smoke and fire based on color features, and the other specializes in recognizing smoke and fire by analyzing the shape of objects. The proposed method was experimentally validated on a diverse set of twelve videos that included different scenes such as indoor, outdoor, and day and night conditions. The experimental results show promising performance, with detection results ranging from 91.4% to 99.6%. The proposed method exhibits high detection rates while minimizing false alarms, as evidenced by low error rates for both omissions and false alarms. Thus, the results highlight the effectiveness of the introduced flame detection method in accurately detecting flames in video sequences. The integration of contour analysis enhances the system's ability to distinguish real flames from environmental factors, resulting in improved detection accuracy and reliability. This research contributes to the development of fire detection technologies in video surveillance systems, which can potentially be applied to improve safety and security in various environments.

Maqola ma’lumotlari
MualliflarХамдамов, Рустам, Рахманов, Хошим, Сокиев, Темур, Бурибоев, Аброр, Султанов, Жамшид, Кобеева, Загира
JurnalРақамли технологияларнинг назарий ва амалий масалалари
NashriyotТАТУ Самарқанд филиали
ISSN2181-3086, 2181-3094
Nashr sanasi2024-06-30
Jild7
Son2
Betlar98-107
TilIngliz
Ilmiy sohaTexnika
DOI10.62132/ijdt.v7i2.190
Indeksga qo‘shilgan2026-08-26

DOI: 10.62132/ijdt.v7i2.190 · Maqolaning asl sahifasi

Kalit so‘zlar

видеонаблюдение, обнаружение пожара, анализ контура, распознавание пламени, video surveillance, fire detection, contour analysis, flame detection

Ilmiy soha

Texnika

Iqtibos keltirish

APAХамдамов, Рустам, Рахманов, Хошим, Сокиев, Темур, Бурибоев, Аброр, Султанов, Жамшид, & Кобеева, Загира (2024). Contour and Color Analysis to Improve Fire Detection Performance in Video Surveillance. Рақамли технологияларнинг назарий ва амалий масалалари, 7(2), 98-107. https://doi.org/10.62132/ijdt.v7i2.190
GOST (OAK)Хамдамов, Рустам va b. Contour and Color Analysis to Improve Fire Detection Performance in Video Surveillance // Рақамли технологияларнинг назарий ва амалий масалалари. – 2024. – T. 7, № 2. – P. 98-107. – DOI: 10.62132/ijdt.v7i2.190.
MLAХамдамов, Рустам, Рахманов, Хошим, Сокиев, Темур, Бурибоев, Аброр, Султанов, Жамшид, and Кобеева, Загира. “Contour and Color Analysis to Improve Fire Detection Performance in Video Surveillance.” Рақамли технологияларнинг назарий ва амалий масалалари, 7(2), 98-107, 2024. https://doi.org/10.62132/ijdt.v7i2.190
ChicagoХамдамов, Рустам, Рахманов, Хошим, Сокиев, Темур, Бурибоев, Аброр, Султанов, Жамшид, and Кобеева, Загира. “Contour and Color Analysis to Improve Fire Detection Performance in Video Surveillance.” Рақамли технологияларнинг назарий ва амалий масалалари, 7(2), 98-107 (2024). https://doi.org/10.62132/ijdt.v7i2.190
HarvardХамдамов, Рустам, Рахманов, Хошим, Сокиев, Темур, Бурибоев, Аброр, Султанов, Жамшид, and Кобеева, Загира (2024) ‘Contour and Color Analysis to Improve Fire Detection Performance in Video Surveillance’, Рақамли технологияларнинг назарий ва амалий масалалари, 7(2), 98-107. https://doi.org/10.62132/ijdt.v7i2.190
BibTeX
@article{article2024,
  title = {Contour and Color Analysis to Improve Fire Detection Performance in Video Surveillance},
  author = {Хамдамов, Рустам and Рахманов, Хошим and Сокиев, Темур and Бурибоев, Аброр and Султанов, Жамшид and Кобеева, Загира},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year = {2024},
  volume = {7},
  number = {2},
  pages = {98-107},
  doi = {10.62132/ijdt.v7i2.190},
  url = {https://doi.org/10.62132/ijdt.v7i2.190}
}

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