An Eigenbackground Subtraction Method using Recursive Error Compensation
Paper i proceeding, 2006

Eigenbackground subtraction is a common method for moving object detection. The method uses the difference between input image and the reconstructed background image to detect foreground objects based on eigenvalue decomposition. In the method, foreground regions are represented in the reconstructed image using eigenbackground. This results in errors that are spread out over the entire reconstructed reference image. This will also result in degradation of quality of reconstructed background leading to inaccurate moving object detection. In order to compensate these regions, an efficient recursive error compensation method is proposed. The experimental results show that a better approximation of the background is constructed by the proposed method and more accurate foreground objects can be detected based on the reconstructed background.

object tracking

principal component analysis

background subtraction


Zhifei Xu

Pengfei Shi

Irene Yu-Hua Gu

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

to appear in "Advances in Multimedia Information Processing - PCM 2006", LNCS (Springer) Vol. 4261, 2006

Vol. 4261



Datorseende och robotik (autonoma system)

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