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Background Subtraction for Time of Flight Imaging


A time of flight camera provides two types of images simultaneously, depth and intensity. In this paper a computational method for background subtraction, combining both images or fast sequences of images, is proposed. The background model is based on unbalanced or semi-supervised classifiers, in particular support vector machines. A brief review of one class support vector machines is first given. A method that combines the range and intensity data in two operational modes is then provided. Finally, experimental results are presented and discussed.

Palabras clave
industrial TOF cameras
machine vision
pattern recognition
support vector machines

Esta obra se publica con la licencia Creative Commons Attribution 4.0 International (BY 4.0)
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