Publication detail

Clothing Color Based De-Identification

PŘINOSIL, J.

Original Title

Clothing Color Based De-Identification

English Title

Clothing Color Based De-Identification

Type

conference paper

Language

en

Original Abstract

Color of clothing can be easily used in the process of people identification as a non-biometric trait. This trait would be modified appropriately to preserve personal anonymity in social media or in video surveillance systems. This paper deals with a proposal of new method for clothing color de-identification in image records. The method consists of silhouette segmentation and clothing color segmentation algorithms. The de-identification is done by modifying components of HSV color space upon segmented clothing. The process of de-identification is reversible, i.e. original clothing color can be restored in case of transformation parameters that were used are known.

English abstract

Color of clothing can be easily used in the process of people identification as a non-biometric trait. This trait would be modified appropriately to preserve personal anonymity in social media or in video surveillance systems. This paper deals with a proposal of new method for clothing color de-identification in image records. The method consists of silhouette segmentation and clothing color segmentation algorithms. The de-identification is done by modifying components of HSV color space upon segmented clothing. The process of de-identification is reversible, i.e. original clothing color can be restored in case of transformation parameters that were used are known.

Keywords

clothing color, clothing segmentation, de-identification, non-biometric traits

Released

04.07.2018

Publisher

IEEE

Location

Athens, Greece

ISBN

978-1-5386-4695-3

Book

Proceedings of the IEEE 2018 41st International Conference on Telecommunications and Signal Processing (TSP2018)

Pages from

1

Pages to

5

Pages count

5

BibTex


@inproceedings{BUT150966,
  author="Jiří {Přinosil}",
  title="Clothing Color Based De-Identification",
  annote="Color of clothing can be easily used in the process of people identification as a non-biometric trait. This trait would be modified appropriately to preserve personal anonymity in social media or in video surveillance systems. This paper deals with a proposal of new method for clothing color de-identification in image records. The method consists of silhouette segmentation and clothing color segmentation algorithms. The de-identification is done by modifying components of HSV color space upon segmented clothing. The process of de-identification is reversible, i.e. original clothing color can be restored in case of transformation parameters that were used are known.",
  address="IEEE",
  booktitle="Proceedings of the IEEE 2018 41st International Conference on Telecommunications and Signal Processing (TSP2018)",
  chapter="150966",
  doi="10.1109/TSP.2018.8441413",
  howpublished="online",
  institution="IEEE",
  year="2018",
  month="july",
  pages="1--5",
  publisher="IEEE",
  type="conference paper"
}