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Automatic bandwidth estimation strategy for high-quality non-parametric modeling based moving object detection

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2 Author(s)
Carlos Cuevas ; Grupo de Tratamiento de Imágenes - E.T.S. Ing. Telecomunicación Universidad Politécnica de Madrid - Madrid - Spain ; Narciso García

Here, a novel and efficient moving object detection strategy by non-parametric modeling is presented. Whereas the foreground is modeled by combining color and spatial information, the background model is constructed exclusively with color information, thus resulting in a great reduction of the computational and memory requirements. The estimation of the background and foreground covariance matrices, allows us to obtain compact moving regions while the number of false detections is reduced. Additionally, the application of a tracking strategy provides a priori knowledge about the spatial position of the moving objects, which improves the performance of the Bayesian classifier.

Published in:

2011 18th IEEE International Conference on Image Processing

Date of Conference:

11-14 Sept. 2011