By Topic

A Hybrid Clustering Algorithm for Fire Detection in Video and Analysis with Color Based Thresholding Method

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Chakraborty, I. ; Dept. of Comput. Sci. & Eng., Jadavpur Univ., Kolkata, India ; Paul, T.K.

In this study an unsupervised way of fire pixel detection from video frames is depicted. A hybrid clustering algorithm is proposed, depending on color samples in video frames. A modified k-mean clustering algorithm is used here. In this algorithm hierarchical and partition clustering are used to build the hybrid. The results are analyzed with color base threshold method by considering RGB and HSI color models. The two very good color spaces which follow the mechanism, the way hardware and human being identify the color. We discuss performance based comparison by which it can be clearly shown that how our proposed algorithm perform better. Overall this algorithm does very fast processing and detects fire flame in video, which is very important because smart video surveillance need very fast response.

Published in:

Advances in Computer Engineering (ACE), 2010 International Conference on

Date of Conference:

20-21 June 2010