Smoke detection algorithm for intelligent video surveillance system
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BROVKO, Nadejda, BOGUSH, Rihard, ABLAMEYKO, Serghei. Smoke detection algorithm for intelligent video surveillance system. In: Computer Science Journal of Moldova, 2013, nr. 1(61), pp. 142-156. ISSN 1561-4042.
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Computer Science Journal of Moldova
Numărul 1(61) / 2013 / ISSN 1561-4042 /ISSNe 2587-4330

Smoke detection algorithm for intelligent video surveillance system
CZU: 004.932:519.16

Pag. 142-156

Brovko Nadejda1, Bogush Rihard1, Ablameyko Serghei2
 
1 Polotsk State University, Republic of Belarus,
2 Belarusian State University
 
Disponibil în IBN: 13 decembrie 2013


Rezumat

An efficient smoke detection algorithm on color video sequences obtained from a stationary camera is proposed. Our algorithm considers dynamic and static features of smoke and is composed of basic steps: preprocessing; slowly moving areas and pixels segmentation in a current input frame based on adaptive background subtraction; merge slowly moving areas with pixels into blobs; classification of the blobs obtained before. We use adaptive background subtraction at a stage of moving detection. Moving blobs classification is based on optical flow calculation, Weber contrast analysis and takes into account primary direction of smoke propagation. Real video surveillance sequences were used for smoke detection with utilization our algorithm. A set of experimental results is presented in the paper.

Cuvinte-cheie
smoke detection, video sequences, background subtraction, Weber contrast analys