Paper
15 May 2014 Early video smoke detection system to improve fire protection in rolling stocks
Sergio Saponara, Luca Pilato, Luca Fanucci
Author Affiliations +
Abstract
This paper presents a video system, operating in the visible spectrum range, for early smoke detection in passenger trains. The main idea is integrating standard smoke sensors with the results of a smoke detection processing, which exploits video surveillance cameras already available on-board the train. To this aim a novel video processing flow is proposed exploiting temporal, spatial and chromatic characteristics of the reference scenario. The proposed algorithm has been successfully verified with several video set and its implementation complexity fully characterized.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergio Saponara, Luca Pilato, and Luca Fanucci "Early video smoke detection system to improve fire protection in rolling stocks", Proc. SPIE 9139, Real-Time Image and Video Processing 2014, 913903 (15 May 2014); https://doi.org/10.1117/12.2052881
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Video

Video surveillance

Video processing

Motion detection

Sensors

Cameras

Colorimetry

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