Kesiman Made Windu Antara Primary Author mixed material bibliography Bandung ITB Journal Publisher 2021 e English

Artikel Jurnal

hlm : 89-104 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. Ilmu Teknik JICTRA 23375787 Perpustakaan Teknik UPI YAI JICTRA V15N1 June 2021 JICTRA4a-006 Perpustakaan FT UPI YAI JICTRA V15N1 June 2021 JICTRA4b-006 Perpustakaan FT UPI YAI JICTRA V15N1 June 2021 JICTRA4c-006 Perpustakaan FT UPI YAI JICTRA V15N1 June 2021 JICTRA_ITB_small.png.png 59052 2023-02-13 15:59:31 2023-02-13 15:59:31 machine generated