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IEEE Transactions on Circuits and Systems for Video Technology· 2015Q1

Real-Time Fire Detection for Video-Surveillance Applications Using a Combination of Experts Based on Color, Shape, and Motion

Pasquale Foggia, Alessia Saggese, Mario Vento

Short summary

A novel multi-expert system combines color, shape variation, and motion analysis to detect fires in real-time from surveillance videos, achieving improved performance with minimal design effort.

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Field: Safety, Risk, Reliability and Quality

Safety, Risk, Reliability and QualityEngineering