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This paper proposes a model for detecting fire captured in video data by combining the methods of correlation coefficient, Gaussian Mixture Model - GMM and turbulent analysis. The method of correlation efficient is used to determine movement objects. We use GMM to cluster fire-colored pixel in the RGB space. The objective of turbulent analysis is to detect the flame of fire. A model built on three...
Optical joint transform correlation (JTC) technique has been proposed to be an efficient pattern recognition system. Color pattern recognition techniques utilize color of the target objects as additional feature to the spatial characteristics. A new optical JTC technique is developed for color pattern recognition employing the same reference image but with four different amounts of phase shift. A...
In this paper, we propose a fast pattern matching algorithm based on normalized cross correlation (NCC) with centroid bounding to achieve very efficient search. The algorithm will calculate histogram around centroid within maximum circle with radius R. After dividing the image into blocks by R??R size, calculating the similarity between the color histograms of the image block and centroid around circle...
This paper presents a novel an adaptive background subtraction method to segment the moving regions and locate the positions of human bodies. Most methods proposed so far adjust the permissible range of the background image variations according to the training samples of background images. Thus, the detection sensitivity decreases at those pixels having wide permissible ranges. If we can narrow the...
The aim of this paper is to describe the implementation a face tracking algorithm for video conferencing environment using the normalized cross correlation method. The reference image was selected based on human skin properties in the YCbCr color space. The results obtained on different color spaces showed that the YCbCr color space had higher tracker detection rates (TDR) compared to the RGB and...
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