Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:P3
Session:
Number:P3-15
Fire Extinguisher Recognition using Robust Color Detection and Gamma Correction
Hyun Tae Kim, Young Min Jang, Sang Bock Cho ,
pp.1049-1052
Publication Date:2016/7/10
Online ISSN:2188-5079
Summary:
In this paper, we propose an algorithm to detect the fire extinguisher in real time through the camera lens using the robust color detection for reducing optical noise with color detection method and gamma correction to 2-channel operation. The proposed algorithm has been decreased the calculation time about 64% (conventional method : 4.182ms, proposed method : 1.505ms) than conventional method using prominent object color to change the YCbCr model. Also, the error rate by the noise decreases about 43% because proposed method uses a gamma correction. As a result, it shows the processing speed of 10.8ms per frame and the detection rate of 96% per frame, it can quickly and accurately detect the color information for object tracking.