Background Subtraction Approach based on Independent Component Analysis

Sensors

关键词: background subtraction;    independent component analysis;    motion detection;   

DOI  :  10.3390/s100606092

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.