Fast and Accurate Gesture Recognition Based on Motion Shapes

Autor:	Helio Pedrini, Marlon Alcantara, Thierry Pinheiro Moreira, David Menotti
Rok vydání:	2015
Předmět:	Contextual image classification Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Motion (physics) Task (project management) Data set Discriminative model Gesture recognition Feature descriptor Computer vision Artificial intelligence business Gesture
Zdroj:	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319257501 CIARP
DOI:	10.1007/978-3-319-25751-8_30
Popis:	As in many other computer vision applications, the large amount of data is an inherent problem in video gesture recognition. A challenging task is to maintain a suitable trade-off between time and accuracy aiming a solution meeting certain requirements and constraints. In this paper, we propose a simple and fast gesture recognition approach that extracts meaningful and discriminative descriptors from hand gesture videos. Experiments conducted on the Sheffield Kinect Gestures (SKIG) data set show that our method achieves competitive accuracies, while processing frames at frequencies higher than those required for real-time applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::99c412a869bb3a27696809154afa143c https://doi.org/10.1007/978-3-319-25751-8_30 Zobrazit plný text záznamu