Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22670
Title: Analysis of the problem of Macedonian folk dance recognition
Authors: Martinovikj, Darko
Mihova, Marija 
Jovanov, Mile 
Keywords: Macedonian folk dance characteristics, Dance Recognition, Kinect sensor, gesture Recognition
Issue Date: 2013
Publisher: Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia
Conference: The 10th Conference for Informatics and Information Technology (CIIT 2013)
Abstract: Human experts in dancing and even the enthusiasts can easily conclude if someone is following the sequence of movements of a dance according to the music. But, if the task is given to the computer, it wouldn’t be an easy task, because the computer can only understand and work with numbers. In this paper we analyse the existing solutions for dance recognition and expand the idea toward building a system for dance recognition of traditional Macedonian folk dances. Different approaches for the used hardware, algorithms and methods are described and compared with Macedonian folk dance characteristics.
URI: http://hdl.handle.net/20.500.12188/22670
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

Files in This Item:
File Description SizeFormat 
10CiiT-35.pdf315.1 kBAdobe PDFView/Open
Show full item record

Page view(s)

47
checked on Apr 28, 2024

Download(s)

7
checked on Apr 28, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.