DocumentCode
595052
Title
Real-time smoke detection using texture and color features
Author
Yue Wang ; Teck Wee Chua ; Chang, Ronald ; Nam Trung Pham
Author_Institution
Inst. for Infocomm Res., Agency for Sci., Technol. & Res., Singapore, Singapore
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
1727
Lastpage
1730
Abstract
This paper presents a real-time smoke detection algorithm. A modified Center Symmetric Local Ternary Pattern (CS-LTP) is proposed as the smoke texture descriptor. The change in background texture provides a means to differentiate between smoke and non-smoke region. Combined with the color information of smoke, our method is able to achieve real-time performance at minimum of 30 fps. The comparison with the state of art is presented as well. The experiment results show the proposed method can obtain good performance.
Keywords
feature extraction; image colour analysis; image texture; object detection; safety; smoke; CS-LTP; background texture; center symmetric local ternary pattern; color features; nonsmoke region; real-time smoke detection algorithm; smoke color information; smoke texture descriptor; texture features; Detection algorithms; Feature extraction; Hidden Markov models; Histograms; Image color analysis; Real-time systems; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460483
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