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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.

AI-generated from the title and abstract; the full text is not read.

Key points

  • A multi-expert system combines color, shape variation, and motion analysis for fire detection.
  • A novel bag-of-words descriptor is proposed for motion representation.
  • The method was tested on a large dataset of fire videos from real environments and the web.
  • The system achieves reduced false positives without sacrificing accuracy or embedded platform compatibility.

AI-generated from the title and abstract; the full text is not read.

Abstract

In this paper, we propose a method that is able to detect fires by analyzing videos acquired by surveillance cameras. Two main novelties have been introduced. First, complementary information, based on color, shape variation, and motion analysis, is combined by a multiexpert system. The main advantage deriving from this approach lies in the fact that the overall performance of the system significantly increases with a relatively small effort made by the designer. Second, a novel descriptor based on a bag-of-words approach has been proposed for representing motion. The proposed method has been tested on a very large dataset of fire videos acquired both in real environments and from the web. The obtained results confirm a consistent reduction in the number of false positives, without paying in terms of accuracy or renouncing the possibility to run the system on embedded platforms.

The authors' abstract, as published at the source. IEEE Transactions on Circuits and Systems for Video Technology, 2015 · DOI ↗

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Field: Safety, Risk, Reliability and Quality

Safety, Risk, Reliability and QualityEngineering