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Detail publikace
VOJVODA, J. BERAN, V.
Originální název
Feature extraction for efficient image and video segmentation
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The segmentation of sensory data of various domains is often crucial pre-processing step in many computer vision methods and applications. In this work, we propose a method that leverages the quantization of local features distributions for the depth and the temporal information. Three variants of the segmentation method is designed and evaluated reflecting various data domains: space (color and texture), temporal (motion) and depth domain. Each variant was tested on appropriate dataset showing the usability of designed method for applications like areal-image analysis, hand detection and moving-people detection. The pilot experiments shows the characteristics of the approach and computational costs of designed variants.
Klíčová slova
Color/Texture segmentation, Motion segmentation, RGB-D/T segmentation
Autoři
VOJVODA, J.; BERAN, V.
Vydáno
27. 4. 2016
Nakladatel
Association for Computing Machinery
Místo
Smolenice
ISBN
978-1-4503-4436-4
Kniha
Proceedings - SCCG 2016: 32nd Spring Conference on Computer Graphics
Strany od
75
Strany do
80
Strany počet
6
URL
https://www.fit.vut.cz/research/publication/11086/
BibTex
@inproceedings{BUT130940, author="Jakub {Vojvoda} and Vítězslav {Beran}", title="Feature extraction for efficient image and video segmentation", booktitle="Proceedings - SCCG 2016: 32nd Spring Conference on Computer Graphics", year="2016", pages="75--80", publisher="Association for Computing Machinery", address="Smolenice", doi="10.1145/2948628.2948631", isbn="978-1-4503-4436-4", url="https://www.fit.vut.cz/research/publication/11086/" }
Dokumenty
sccg_vojvoda.pdf