Fire detection using video offers a novel way of detecting fire in spaces where conventional smoke-based fire detectors tend to exhibit high false alarm behavior. This paper explores a simple algorithm for flame detection based on the use of a modified histogram back projection algorithm in YCbCr colour space.
Relevant features selection through principal component analysis is employed to increase the efficiency of support vector machine (SVM) methods. In particular, a detailed study is presented on the effects of this statistical narrowing, when used to generate income prediction data based on the current population survey provided by the U.S. Census Bureau. A… (More)