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Model of human clothes based on saliency maps

  • In this paper, we describe a method to model human clothes for a later recognition by the use of RGB- and SWIR-cameras. A basic model is estimated during people detection and tracking. This model will be refined if the recognition is triggered. For the refining, several saliency maps are used to extract individual features. These individual features are located separately for any human body parts. The body parts are estimated by the use of a silhouette extraction combined with a skeleton estimation. In this way, the model describes the human clothes in a compact manner which allows the use of a simple and fast comparison method for people recognition. Such models can be used in security and service applications.

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Author:Sebastian Hommel, Darius Malysiak, Uwe Handmann
Parent Title (English):14th IEEE International Symposium on Computational Intelligence and Informatics
Document Type:Conference Proceeding
Year of Completion:2013
Contributing Corporation:IEEE, BMBF
Release Date:2019/07/03
Page Number:6
First Page:551
Last Page:556
Institutes:Fachbereich 1 - Institut Informatik
DDC class:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):License LogoNo Creative Commons