Sensors 2010, 10(6), 6092-6114; doi:10.3390/s100606092

Background Subtraction Approach Based on Independent Component Analysis

Received: 26 April 2010; in revised form: 16 May 2010 / Accepted: 28 May 2010 / Published: 18 June 2010
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In this work, a new approach to background subtraction based on independent component analysis is presented. This approach assumes that background and foreground information are mixed in a given sequence of images. Then, foreground and background components are identified, if their probability density functions are separable from a mixed space. Afterwards, the components estimation process consists in calculating an unmixed matrix. The estimation of an unmixed matrix is based on a fast ICA algorithm, which is estimated as a Newton-Raphson maximization approach. Next, the motion components are represented by the mid-significant eigenvalues from the unmixed matrix. Finally, the results show the approach capabilities to detect efficiently motion in outdoors and indoors scenarios. The results show that the approach is robust to luminance conditions changes at scene.
Keywords: background subtraction; independent component analysis; motion detection
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MDPI and ACS Style

Jiménez-Hernández, H. Background Subtraction Approach Based on Independent Component Analysis. Sensors 2010, 10, 6092-6114.

AMA Style

Jiménez-Hernández H. Background Subtraction Approach Based on Independent Component Analysis. Sensors. 2010; 10(6):6092-6114.

Chicago/Turabian Style

Jiménez-Hernández, Hugo. 2010. "Background Subtraction Approach Based on Independent Component Analysis." Sensors 10, no. 6: 6092-6114.

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