An intelligent system for effective fire detection in video: An image processing approach
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 1
Abstract
In this paper, we propose a real-time fire-detector that combines foreground object information with color pixel statistics of fire. Simple adaptive background model of the scene is generated by using three Gaussian distributions, where each distribution corresponds to the pixel statistics in the respective color channel. The foreground information is extracted by using adaptive background subtraction algorithm, and then verified by the statistical fire color model to determine whether the detected foreground object is a fire candidate or not. A generic fire color model is constructed by statistical analysis of the sample images containing fire pixels. The first contribution of the paper is the application of real-time adaptive background subtraction method that aids the segmentation of the fire candidate pixels from the background. The second contribution is the use of a generic statistical model for refined fire-pixel classification. The two processes are combined to form the fire detection system and applied for the detection of fire in the consecutive frames of video sequences.
Authors and Affiliations
Saurabh Shrivastava, Prof. Shivam Khare, Prof. Richa Shrivastava
Performance and Emission Test on Chlorella Algae Oil Blend with Diesel
This study discusses performance and exhaust emission of the vehicle fueled with low content chlorella algae oil (property of the algae oil is similar to the property of diesel) blend with pure diesel in CI engine. The...
A Mechanism To Detect The Selfish Nodes
In Manet (mobile adhoc network) the nodes cooperate to work. But the performance is being affected due to cost intensive activity in which nodes do not cooperate. This behavior among the nodes is being identified using...
Fixed Point Results in Quasimetric Spaces
In the setting of quasimetric spaces, we prove some new results on the existence of fixed points for contractive type maps with respect to Q-function. Our results either improve or generalize many known results in the l...
An Intelligence Based E-learning Frame Work Based on User Preference
In bleeding edge days, to improve e-business, the locales are tweaked for each customer by cognizance their pastimes and conduct. The rule troubles of online use data can't avoid being information over-weight and their...
Low Area and Low Power CMOS technology based RAM and Ternary CAM memory design
Ternary content addressable memory (TCAM) is an associative memory or associative array for very high speed searching applications. It compares input search data (tag) against a table of stored data and returns the addr...