Algorithm of Color Detection for Moving Video Objects Based on Mode Matching
Year: 2012
Type: article
Abstract: It is urgent to study how to effectively identify color of moving objects from the video in the information era. In this paper, we present the color identification methods for moving objects on fixed camera. One kind of the methods is background subtraction that recognizes the foreground objects by compare the difference of pixel luminance between the current image and the background image at the same coordinates. Another kind is based on the statistics of HSV color and color matching which makes the detection more similar to the color identification of the human beings. According to the experiment results, after the completion of the background modelling, our algorithm of background subtraction, statistics of the HSV color and the color matching have strong color recognition ability on the moving objects of video.
Source: Applied Mechanics and Materials
Authors: Zhao Quan Cai, Hui Hu, Tao Xu, Wei Luo, Yi Cheng He
Institutions: Huizhou University, South China University of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2104470733