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TCSV
2011

Mixture of Gaussians-Based Background Subtraction for Bayer-Pattern Image Sequences

8 years 1 months ago
Mixture of Gaussians-Based Background Subtraction for Bayer-Pattern Image Sequences
This paper proposes a background subtraction method for Bayer-pattern image sequences. The proposed method models the background in a Bayer-pattern domain using a mixture of Gaussians (MoG) and classifies the foreground in an interpolated RGB domain. This method can achieve almost the same accuracy as MoG using RGB color images while maintaining computational resources (time and memory) similar to MoG using grayscale images. Experimental results show that the proposed method is a good solution to obtain high accuracy and low resource requirements simultaneously. This improvement is important for a low-level task like background subtraction since its accuracy affects the performance of high-level tasks, and is preferable for implementation in real-time embedded systems such as smart cameras.
Jae Kyu Suhr, Ho Gi Jung, Gen Li, Jaihie Kim
Added 15 May 2011
Updated 15 May 2011
Type Journal
Year 2011
Where TCSV
Authors Jae Kyu Suhr, Ho Gi Jung, Gen Li, Jaihie Kim
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