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Detection of Clothes Change Fusing Color, Texture, Edge and Depth Information

  • Dimitrios SgouropoulosEmail author
  • Theodoros Giannakopoulos
  • Giorgos Siantikos
  • Evaggelos Spyrou
  • Stavros Perantonis
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 554)

Abstract

Changing clothes is a basic activity of daily living (ADL) which may be used as a measurement of the functional status of e.g. an elderly person, or a person with certain disabilities. In this paper we propose a methodology for the detection of when a human has changed clothes. Our non-contact unobtrusive monitoring system is built upon the Microsoft Kinect depth camera. It uses the OpenNI SDK to detect a human skeleton and extract the upper and lower clothes’ visual features. Color, texture and edge descriptors are then extracted and fused. We evaluate our system on a publicly available set of real recordings for several users and under various illumination conditions. Our results show that our system is able to successfully detect when a user changes clothes, thus to assess the quality of the corresponding ADL.

Keywords

Clothes’ change ADL Kinect OpenNI Data fusion 

Notes

Acknowledgements

The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no 288532. For more details, please see http://www.usefil.eu.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Dimitrios Sgouropoulos
    • 1
    Email author
  • Theodoros Giannakopoulos
    • 1
  • Giorgos Siantikos
    • 1
  • Evaggelos Spyrou
    • 1
  • Stavros Perantonis
    • 1
  1. 1.Computational Intelligence Laboratory (CIL), Institute of Informatics and TelecommunicationsNational Center for Scientific Research–DEMOKRITOSAgia Paraskevi, AthensGreece

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