Clothing Color Based De-Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU129589" target="_blank" >RIV/00216305:26220/18:PU129589 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TSP.2018.8441413" target="_blank" >http://dx.doi.org/10.1109/TSP.2018.8441413</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2018.8441413" target="_blank" >10.1109/TSP.2018.8441413</a>
Alternative languages
Result language
angličtina
Original language name
Clothing Color Based De-Identification
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the IEEE 2018 41st International Conference on Telecommunications and Signal Processing (TSP2018)
ISBN
978-1-5386-4695-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Athens, Greece
Event location
Athens, Greece
Event date
Jul 4, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000454845100087