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Real time Fire Detection for Video Surveillance Applications using a Combination of Experts based on Color, Shape and Motion
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Real - time Fire Detection for Video Surveillance Applications using a Combination of Experts based on Color, Shape and Motion

Category : Wireless

Sub Category : Image Processing

Project Code : ITWI05

Project Abstract

           In this paper we propose a method able to detect fires by analyzing the videos acquired by surveillance cameras. Two main novelties have been introduced: first, complementary information, respectively based on color, shape variation and motion analysis, are combined by a multi expert 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 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.

Existing System

Proposed System

In existing system, if any fire accident had occurred in the forest that cannot be identified easily and great lose to the environment

Drawbacks of existing system

     Difficult to predict fire accidents in forest

     More trees are lost

      More lose to environment

     Manual involvement is required

In this system, we continuously monitor the forest area in order to save trees and to maintain ecological balance


Advantages of existing system

  Easy to find and take actions

  Can be take remedies at initial stages

  Less loss to environment

  Automatic system

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