Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Revealing the Characteristics of Balinese Dance Maestros by Analyzing Silhouette Sequence Patterns Using Bag of Visual Movement with HoG and SIFT Features
Dublin Core
Title
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Revealing the Characteristics of Balinese Dance Maestros by Analyzing Silhouette Sequence Patterns Using Bag of Visual Movement with HoG and SIFT Features
Revealing the Characteristics of Balinese Dance Maestros by Analyzing Silhouette Sequence Patterns Using Bag of Visual Movement with HoG and SIFT Features
Subject
Balinese dance; feature; movement; pattern; sequence.
Description
Abstract. The aim of this research was to reveal and explore the characteristics of Balinese dance maestros by analyzing silhouette sequence patterns of Balinese dance movements. A method and complete scheme for the extraction and construction of silhouette features of Balinese dance movements are proposed to enable performing quantitative analysis of Balinese dance movement patterns. Two different feature extraction methods, namely the Histogram of Gradient (HoG) feature and the Scale Invariant Features Transform (SIFT) descriptor, were used to build the final feature, called the Bag of Visual Movement (BoVM) feature. This research also makes a technical contribution with the proposal of
quantifying measures to analyze the movement patterns of Balinese dances and to create the profile and characteristics of dance maestros/creators. Eight Balinese dances from three different Balinese dance maestros were analyzed in this work.
Based on the experimental results, the proposed method was able to visually detect and extract patterns from silhouette sequences of Balinese dance movements. Quantitatively, the pattern measures for profiling of Balinese dances and maestros revealed a number of significant characteristics of different dances and different
maestros.
quantifying measures to analyze the movement patterns of Balinese dances and to create the profile and characteristics of dance maestros/creators. Eight Balinese dances from three different Balinese dance maestros were analyzed in this work.
Based on the experimental results, the proposed method was able to visually detect and extract patterns from silhouette sequences of Balinese dance movements. Quantitatively, the pattern measures for profiling of Balinese dances and maestros revealed a number of significant characteristics of different dances and different
maestros.
Creator
Made Windu Antara Kesiman, I Made Dendi Maysanjaya, I Made Ardwi
Pradnyana, I Made Gede Sunarya & Putu Hendra Suputra
Pradnyana, I Made Gede Sunarya & Putu Hendra Suputra
Source
DOI: 10.5614/itbj.ict.res.appl.2021.15.1.6
Publisher
IRCS-ITB
Date
07 Mei 2021
Contributor
Sri Wahyuni
Rights
ISSN: 2337-5787
Format
PDF
Language
English
Type
Text
Coverage
Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Files
Collection
Citation
Made Windu Antara Kesiman, I Made Dendi Maysanjaya, I Made Ardwi
Pradnyana, I Made Gede Sunarya & Putu Hendra Suputra, “Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 1 2021
Revealing the Characteristics of Balinese Dance Maestros by Analyzing Silhouette Sequence Patterns Using Bag of Visual Movement with HoG and SIFT Features,” Repository Horizon University Indonesia, accessed May 20, 2025, https://repository.horizon.ac.id/items/show/3414.
Revealing the Characteristics of Balinese Dance Maestros by Analyzing Silhouette Sequence Patterns Using Bag of Visual Movement with HoG and SIFT Features,” Repository Horizon University Indonesia, accessed May 20, 2025, https://repository.horizon.ac.id/items/show/3414.