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http://dx.doi.org/10.13067/JKIECS.2015.10.1.21

Real-time Smoke Detection Based on Colour Information, Morphological and Dynamic Features of the Smoke  

Kim, Hyun-Tae (동의대학교 멀티미디어공학과)
Park, Jang-Sik (경성대학교 전자공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.10, no.1, 2015 , pp. 21-26 More about this Journal
Abstract
In this paper, we propose a system which can detect the smoke in real time from the high-quality IP camera. For real-time processing, open directly the RTSP streams transmitted from the IP camera using the library FFmpeg as opening a video file. To recognize smoke, color information and morphological characteristics of smoke, as well as the dynamic characteristics of the smoke also considered for candidate regions. To combine the characteristics of the various smoke effectively, the Adaboost algorithm, was used as the boosting algorithm finally. Through the experiments with input videos from IP camera, the proposed algorithms were useful to detect smokes.
Keywords
Gaussian Mixture Model; Dynamic Characteristics; RTSP Streams; Smoke Detection;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
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