Dynamic Texture Analysis for Real-Time Flame Detection

Authors

  • M.Venkata Narasimha Chary INDIA Author

Keywords:

Dynamic Texture Analysis, Flame Detection, Real-Time Systems, Computer Vision, Image Processing

Abstract

Flame detection is critical for timely response and mitigation in fire safety systems. Traditional methods often struggle with dynamic environments and varying lighting conditions. This paper explores the application of dynamic texture analysis, a technique adept at capturing temporal variations in visual data, for real-time flame detection. By leveraging the inherent motion and texture patterns of flames, our approach aims to enhance accuracy and reliability in fire detection systems.

References

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Yoon, S. Y., Kim, S. H., & Park, K. R. (2014). A review of flame detection algorithms for fire surveillance systems. Fire Safety Journal, 69, 107-119.

Mahalingam, G., & Veerappan, A. R. (2015). Flame detection using fuzzy logic technique in real time video sequences. Procedia Computer Science, 50, 141-146.

Yao, H., & Suykens, J. A. K. (2016). Feature extraction and classification for flame detection in video. Pattern Recognition, 50, 65-75.

Published

2016-07-17

How to Cite

Dynamic Texture Analysis for Real-Time Flame Detection. (2016). JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), 4(2), 1-9. https://jrtcse.com/index.php/home/article/view/JRTCSE.2016.2.1