TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Hommel, Sebastian
A1  - Malysiak, Darius
A1  - Handmann, Uwe
T1  - Model of human clothes based on saliency maps
T2  - 14th IEEE International Symposium on Computational Intelligence and Informatics
N2  - 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.
Y1  - 2013
UR  - https://ieeexplore.ieee.org/document/6705258
UR  - http://www.handmann.net/pdf/CINTI-HomMalHan2013.pdf
U6  - https://doi.org/10.1109/CINTI.2013.6705258
DO  - https://doi.org/10.1109/CINTI.2013.6705258
SP  - 551
EP  - 556
S1  - 6
ER  -