DocumentCode :
2906265
Title :
A Method for Detecting Miners in Underground Coal Mine Videos
Author :
Cai, Limei ; Qian, Jiansheng
Author_Institution :
Sch. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
Volume :
2
fYear :
2009
fDate :
12-14 Dec. 2009
Firstpage :
127
Lastpage :
130
Abstract :
Detecting miners in underground coal mine videos is significant for the production safety. But, the miners are very similar to the background in underground coal mine videos, it is difficult to detect. In this paper, we proposed a method to detect miners by detecting their helmets. The helmet is round or resembles a round from different angles to observe. The operations include background subtraction, denoising, erosion, region growing, circle detecting, and tracking. The method has been tested on the real underground coal mine videos. The experimental results show that the miners can be detected accurately even though they can not be seen clearly.
Keywords :
coal; image denoising; mining; object detection; occupational safety; safety devices; video signal processing; helmet; image denoising; miner detection; production safety; underground coal mine videos; Computational intelligence; Humans; Lighting; Monitoring; Motion detection; Product safety; Production; Testing; Videos; Winches; miner detection; moving detection; underground coal mine video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
Type :
conf
DOI :
10.1109/ISCID.2009.180
Filename :
5368795
Link To Document :
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