Video based Fire Detection using BFO Algorithm with Moving Camera

نویسندگان

Chao-Yu Chen

Sahil Raheja

Riza Muhida

Eklas Hossain

Ahmed Faris

Turgay Celik

Huseyin Ozkaramanli

چکیده

Most of buildings that have the fire detection systems provide limited information from the detectors to fire alarm panels. Therefore, there is a need to improve the quality of the information that is provided for this service. This paper proposed a way to detect the fire immediately by video camera, using a style of Bacterial Foraging Optimization (BFO) technique for controlling the DC motor and image processing. In this paper image processing is used to obtain a suitable data that is introduction to the controller. The registration of all video files that have been captured from the moving camera is then stored in the computer. At the time when a fire is noticed by this system, a fire alarm is given immediately and the location of fire occurrence is shown. Simulink is used in this method for the simulation of fire detection, image processing and the controller.

متن کامل

منابع مشابه

Flame recognition in video

This paper presents an automatic system for fire detection in video sequences. There are several previous methods to detect fire, however, all except two use spectroscopy or particle sensors. The two that use visual information suffer from the inability to cope with a moving camera or a moving scene. One of these is not able to work on general data, such as movie sequences. The other is too sim...

متن کامل

Fire detection using video sequences in urban out-door environment

Nowadays automated early warning systems are essential in human life. One of these systems is fire detection which plays an important role in surveillance and security systems because the fire can spread quickly and cause great damage to an area. Traditional fire detection methods usually are based on smoke and temperature detectors (sensors). These methods cannot work properly in large space a...

متن کامل

Computer vision based method for real - time fire and flame detection q

This paper proposes a novel method to detect fire and/or flames in real-time by processing the video data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire flicker is detected by analyzing the video in the wavelet domain. Quasi-periodic behavior in flame boundaries is detected by performing temporal wavelet transform. Color variat...

متن کامل

Fast fire flame detection in surveillance video using logistic regression and temporal smoothing

Real-time detection of fire flame in video scenes from a surveillance camera offers early warning to ensure prompt reaction to devastating fire hazards. Many existing fire detection methods based on computer vision technology have achieved high detection rates, but often with unacceptably high falsealarm rates. This paper presents a reliable visual analysis technique for fast fire flame detecti...

متن کامل