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Indian Classical Dance Classification with Adaboost Multiclass Classifier on Multifeature Fusion
Joint Authors
Kishore, P. V. V.
Kumar, K. V. V.
Anil Kumar, D.
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-26
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Extracting and recognizing complex human movements from unconstraint online video sequence is an interesting task.
In this paper the complicated problem from the class is approached using unconstraint video sequences belonging to Indian classical dance forms.
A new segmentation model is developed using discrete wavelet transform and local binary pattern (LBP) features for segmentation.
A 2D point cloud is created from the local human shape changes in subsequent video frames.
The classifier is fed with 5 types of features calculated from Zernike moments, Hu moments, shape signature, LBP features, and Haar features.
We also explore multiple feature fusion models with early fusion during segmentation stage and late fusion after segmentation for improving the classification process.
The extracted features input the Adaboost multiclass classifier with labels from the corresponding song (tala).
We test the classifier on online dance videos and on an Indian classical dance dataset prepared in our lab.
The algorithms were tested for accuracy and correctness in identifying the dance postures.
American Psychological Association (APA)
Kumar, K. V. V.& Kishore, P. V. V.& Anil Kumar, D.. 2017. Indian Classical Dance Classification with Adaboost Multiclass Classifier on Multifeature Fusion. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1191276
Modern Language Association (MLA)
Kumar, K. V. V.…[et al.]. Indian Classical Dance Classification with Adaboost Multiclass Classifier on Multifeature Fusion. Mathematical Problems in Engineering No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1191276
American Medical Association (AMA)
Kumar, K. V. V.& Kishore, P. V. V.& Anil Kumar, D.. Indian Classical Dance Classification with Adaboost Multiclass Classifier on Multifeature Fusion. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1191276
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191276