Clustering of similar motions in the given “Bharatanatyam” dance video.

• The video was given in RGB format

• Annotation file with motion frame details.

• Cluster number for each motion

• All the motions didn’t have same no of frames even the similar ones.

• Also the frames of similar motions may be different.

• To compare similarity of two motions,need to find a good measure.

• The similarity measure should be more for similar motions and less for different motions

• It should be able to compare motions with different no of frames

• Used Dense optical flow and obtained the feature vector of each motion.

  • Tried various variations using HOF

• Applied DTW as similarity measure for motions and obtained similarity matrix.

• Used Spectral Clustering to cluster the data using the above similarity matrix.

• Used Dense optical flow to get the features for each motion.

• Made all vectors equal size by appending with small value(1e-5)

• Used SVM for the classification