Human Body Segmentation using R-CNN
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141055" target="_blank" >RIV/00216305:26220/21:PU141055 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
čeština
Original language name
Human Body Segmentation using R-CNN
Original language description
The article deals with basic concepts in the sector of image processing using neural networks. It describes the basic principles and methods of object recognition and image segmentation using neural network architectures based on R-CNN architecture. Specifically the work focuses on human body segmentation from static images, resulting in individual segments in the output mask corresponding to each limb of a human body.
Czech name
Human Body Segmentation using R-CNN
Czech description
The article deals with basic concepts in the sector of image processing using neural networks. It describes the basic principles and methods of object recognition and image segmentation using neural network architectures based on R-CNN architecture. Specifically the work focuses on human body segmentation from static images, resulting in individual segments in the output mask corresponding to each limb of a human body.
Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů