Flame Detection using Image Processing Techniques
Punam Patel,Shamik Tiwari +1 more
TL;DR: The combination of color, motion and area clues is used to detect fire in the video using combined approach of color detection, motion detection and area dispersion.
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Abstract: Dynamic textures are common in natural scenes Examples of dynamic textures in video include fire, smoke, trees in the wind, clouds, sky, ocean waves etc The fire is characterized using efficient features and detection of the same using a suitable processing Every pixel is checked for the presence or absence of fire using color features, and periodic behavior in fire regions is also analyzed In this paper we use combined approach of color detection, motion detection and area dispersion to detect fire in video data Firstly, the algorithm locates desired color regions in video frames, and then determines the region in the video where there is any movement, and in the last step we calculate the pixel area of the frame The combination of color, motion and area clues is used to detect fire in the video
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Citations
Using Popular Object Detection Methods for Real Time Forest Fire Detection
Shixiao Wu,Libing Zhang +1 more
- 01 Dec 2018
TL;DR: For the first time, classical objective detection methods to detect forest fire are used: Faster R-CNN, YOLO, and SSD, among them SSD has better real-time property, higher detection accuracy and early fire detection ability.
135
Video fire detection based on Gaussian Mixture Model and multi-color features
TL;DR: A new approach to detect fire from a video stream that takes full advantage of the motion feature and color information of fire to achieve better effectiveness, adaptability and robustness.
102
A Real-Time Fire Detection Method from Video with Multifeature Fusion
TL;DR: The proposed detection method based on multifeature fusion of flame could improve the accuracy and reduce the false alarm rate compared with a state-of-the-art technique and can be applied to real-time camera monitoring systems.
Fire recognition using rgb and ycbcr color space
Lokman Nor Anis Aneza,Zaidi Norsyahirah Izzati,Daud Mohd Razali,Ai Chia Khor,Achmad Hendriyawan +4 more
- 01 Jan 2015
TL;DR: A system for fire recognition is developed based on a set of rules of conforming the value of R, G, B, Y, Cb and Cr component in an image, which shows the best performance compared to RGB because it can separate luminance from chrominance more effectively than RGB color space.
58
Fire Detection Algorithm using Image Processing Techniques
Kumarguru Poobalan,Siau-Chuin Liew +1 more
- 12 Oct 2015
TL;DR: A fire detection algorithm based on image processing techniques which is compatible in surveillance devices like CCTV, wireless camera to UAVs and mainly comprehended by the intensity of the component R which is red colour is proposed.
44
References
An early fire-detection method based on image processing
Thou-Ho Chen,Ping-Hsueh Wu,Yung-Chuen Chiou +2 more
- 24 Oct 2004
TL;DR: Experimental results show that the developed technique can achieve fully automatic surveillance of fire accident with a lower false alarm rate and thus is very attractive for the important military, social security, commercial applications, and so on, at a general cost.
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Computer vision based method for real-time fire and flame detection
TL;DR: This paper proposes a novel method to detect fire and/or flames in real-time by processing the video data generated by an ordinary camera monitoring a scene by analyzing the video in the wavelet domain.
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Fast and Efficient Method for Fire Detection Using Image Processing
TL;DR: In this article, a computer vision-based fire detection algorithm is proposed, which consists of two main parts: fire color modeling and motion detection, which can be used in parallel with conventional fire detection systems to reduce false alarms.
262
Flame detection in video using hidden Markov models
Behcet Ugur Toreyin,Yiğithan Dedeoğlu,Ahmet Enis Cetin +2 more
- 14 Nov 2005
TL;DR: This paper proposes a novel method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene using a hidden Markov model.
A new image-based real-time flame detection method using color analysis
Wen-Bing Horng,Jian-Wen Peng,Chih-Yuan Chen +2 more
- 19 Mar 2005
TL;DR: In this article, a new image-based real-time flame detection method is proposed, where fire flame features based on the HSI color model are extracted by analyzing 70 flame images and regions with fire-like colors are roughly separated from an image.
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