Automatic video fire detection approach based on PJF color modeling and spatio-temporal analysis

Abstract

Recently, due to the huge damage caused by fires in many countries in the world, fire detection is getting more and more interest as an increasing important issue. Nowadays, the early fire detection in video surveillance scenes is emerging as an alternative solution to overcome the shortcomings of the current inefficient sensors. In this paper, we propose a new video based-fire detection method exploiting color and motion information of fire. Our approach consists in detecting all moving regions in the scene to select then areas likely to be fire. Further, motion analysis is required to identify the accurate fire regions. The proposed method is evaluated on different video datasets containing diverse fire and non-fire videos. Experimental results demonstrate the effectiveness of our proposed method by achieving high fire detection and low false alarms rates. Moreover, it greatly outperforms the related works with 98.81 % accuracy and only 2 % of false positive rate.

A New Color Model for Fire Pixels Detection in PJF Color Space

“…To conclude, using this model in a hybrid system, which combines other information such as motion, geometry, texture, etc. with the color, should evidently improve the fire detection results by differentiating accurately fire region from fire-like areas in the scenes [16]. In this work, we present a new color based model for fire detection in the PJF color space.…”

“…Through this work, we propose to build a simple and efficient rule-based color model to locate possible fire areas in images (namely fire regions and fire-like regions). It should be used in VFD system followed by a more refined analysis to separate between fire and fire-like regions [16]. A fire in an image can be defined based on its chromatic attributes, which can be represented with simple mathematical formulations.…”

“…We agree that further analysis should be applied on the detected regions, but it is a problem by itself, which is not considered in this paper. An extension of this work was addressed in [16], providing a complete VFD system. This paper is organized as follows: Section 2 outlines literature works using color-based models for fire detection.…”