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http://dx.doi.org/10.13067/JKIECS.2014.9.9.977

Real-time Flame Detection Using Colour and Dynamic Features of Flame Based on FFmpeg  

Kim, Hyun-Tae (동의대학교 멀티미디어공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.9, no.9, 2014 , pp. 977-982 More about this Journal
Abstract
In this paper, we propose a system which can detect the flame in real time from the high-quality IP camera. First, open directly the RTSP streams transmitted from the IP camera using the library FFmpeg as opening a video file. The second thing is to extract the background images from video signal using Gaussian mixture model. Then the foreground images are obtained through subtracting operation between the input image and the background image. Separated foreground image through a mathematical morphology operation are considered as candidate area. By analysing colour information and dynamic characteristics of the candidate area, flame is determined finally. Through the experiments with input videos from IP camera, the proposed algorithms were useful to detect flames.
Keywords
Gaussian Mixture Model; Dynamic Characteristics; RTSP Streams; Flame Detection;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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