Background Subtraction for Time of Flight Imaging

Authors
Giacomantone, Javier; Violini, María Lucía; Lorenti, Luciano
Publication Year
2017
Language
English
Format
article
Status
Published version
Description
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.
Facultad de Informática
Subject
Ciencias Informáticas
industrial TOF cameras
machine vision
pattern recognition
support vector machines
Access level
Open access
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Repository
SEDICI (UNLP)
Institution
Universidad Nacional de La Plata
OAI Identifier
oai:sedici.unlp.edu.ar:10915/62941