Automatic Background Generation from a Sequence of Images Based on Robust Mode Estimation

Dro Desire Sidibe (1) , Olivier Strauss (2) , William Puech (2)

1 LHC - Laboratoire Hubert Curien
2 ICAR - Image & Interaction

In this paper, we present a novel method for generating a background model from a sequence of images with moving objects. Our approach is based on non-parametric statistics and robust mode estimation using quasi-continuous histograms (QCH) framework. The proposed method allows the generation of very clear backgrounds without blur effect, and is robust to noise and small variations. Experimental results from real sequences demonstrate the effectiveness of our method.

Keywords: Background generation; Background subtraction; Mode detection; Quasi-continuous histograms

Domains: Computer Vision and Pattern Recognition [cs.CV]

Dro Desire Sidibe, Olivier Strauss, William Puech. Automatic Background Generation from a Sequence of Images Based on Robust Mode Estimation. Electronic Imaging, Jan 2009, San Jose, United States. pp.72500P, ⟨10.1117/12.810157⟩. ⟨ujm-00357228⟩