LEARNING
Development and Research of Hand Segmentation Algorithms on the Image Based on Convolutional Neural Networks
S. Ya. Kazdorf, Zh.S. Pershina, Alexey Kolker
- Year
- 2019
- Citations
- 5
Abstract
In recent years, one of the most important scientific task in robotics is research aimed at developing methods that ensure a safe interaction between a robot and a human. An important aspect of solving this problem is the need to find a solution that allows obtaining maximum recognition accuracy. At the same time, the latest achievements in deep learning open up new possibilities in solving the task of object recognition. In this regard, the purpose of this work is to investigate the algorithms for recognizing human hands on the image, developed on the basis of deep convolutional neural networks.
Keywords
Computer scienceConvolutional neural networkArtificial intelligenceTask (project management)SegmentationDeep learningRoboticsImage (mathematics)Machine learningRobot
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002