NDLI: Improved GMM-based method for target detection

Content Provider	IET Digital Library
Author	Zhao, Juan Xie, Guihui Li, Dongming Song, Mailing
Abstract	The Gaussian mixture model (GMM) is prone to large-scale misdetection in the static case where the background and foreground have similar colours. This study presents an improved GMM method to solve this problem. First, the principal component analysis is used to transform the high-dimensional space into the low-dimensional one with three colour channels, which aims to reduce runtime. Then, the images are processed by GMM to obtain the foreground areas. At the same time, the mean and difference of pixel features in red, green and blue and hue, saturation and value (HSV) colour models are calculated to analyse the similar-coloured components. The areas with similar colours are classified in this process, and thus the foreground is separated from similar-coloured background. Then, all of the extracted areas are targets. The experimental results show that the presented method identified the target areas with high accuracy and high efficiency. Compared with conventional GMM, the presented method obtained the detection-accuracy improvement by about 6% on average.
Starting Page	7
Ending Page	11
Page Count	5
ISSN	20474954
Volume Number	9
e-ISSN	20474962
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-net/9/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-net.2019.0038
Journal	IET Networks
Publisher Date	2019-09-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Blue HSV Colour Model Colour Channel Computer Vision And Image Processing Technique Detection-accuracy Improvement Feature Extraction Foreground Areas Gaussian Mixture Model Gaussian Processes Green HSV Colour Model High-dimensional Space Image Colour Analysis Image Recognition Improved GMM Method Improved GMM-based Method Large-scale Misdetection Mean Difference Object Detection Pixel Feature Principal Component Analysis Red HSV Colour Model Similar-coloured Background Similar-coloured Component Static Case Statistics Target Areas Target Detection
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Management Science and Operations Research Computer Networks and Communications

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