Combined Hu moments, orientation knowledge, and grid intersections feature based identification of Bharatanatyam mudra images

Basavaraj S. Anami, Venkatesh A. Bhandage

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

This paper presents a three-stage methodology for identification of mudra images of Bharatanatyam dance. In the first stage, acquired images of Bharatanatyam mudras are preprocessed to obtain contours and edge images of mudras using canny edge detector. In the second stage, features such as Hu moments, mudra orientation, and grid intersections are extracted and combined feature is defined. In the third stage, a rule-based classifier is used. The proposed method is implemented using OpenCV with Microsoft visual C++ IDE. The work finds application in e-learning of ‘Bharatanatyam’ dance in particular and dances in general and automation of commentary during concerts.

Original languageEnglish
Pages (from-to)1439-1454
Number of pages16
JournalPattern Analysis and Applications
Volume22
Issue number4
DOIs
Publication statusPublished - 01-11-2019

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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