Paper
19 January 2009 Automatic background generation from a sequence of images based on robust mode estimation
D. Sidibé, O. Strauss, W. Puech
Author Affiliations +
Proceedings Volume 7250, Digital Photography V; 72500P (2009) https://doi.org/10.1117/12.810157
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
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 quasicontinuous 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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Sidibé, O. Strauss, and W. Puech "Automatic background generation from a sequence of images based on robust mode estimation", Proc. SPIE 7250, Digital Photography V, 72500P (19 January 2009); https://doi.org/10.1117/12.810157
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Error analysis

Image segmentation

Statistical analysis

Computer vision technology

Fuzzy logic

Machine vision

Video

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