Indian Classical Dance Mudra Classification Using HOG Features and SVM Classifier

@article{Kumar2017IndianCD,
  title={Indian Classical Dance Mudra Classification Using HOG Features and SVM Classifier},
  author={K. V. V. Kumar and Polurie Venkata Vijay Kishore},
  journal={International Journal of Electrical and Computer Engineering},
  year={2017},
  volume={7},
  pages={2537-2546}
}
  • K. V. V. Kumar, P. Kishore
  • Published 1 October 2017
  • Computer Science
  • International Journal of Electrical and Computer Engineering
Digital understanding of Indian classical dance is least studied work, though it has been a part of Indian Culture from around 200BC. This work explores the possibilities of recognizing classical dance mudras in various dance forms in India. The images of hand mudras of various classical dances are collected form the internet and a database is created for this job.  Histogram of oriented (HOG) features of hand mudras input the classifier. Support vector machine (SVM) classifies the HOG features… 
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