The past year alone has seen unprecedented leaps in the area of learning-based image
translation, namely CycleGAN, by Zhu et al. But experiments so far have been tailored to …

In this paper, we scrutinize the effectiveness of classification techniques in recognizing
dance types based on motion-captured human skeleton data. In particular, the goal is to …

In this paper, we address the problem of dance style classification to classify Indian dance or
any dance in general. We propose a 3-step deep learning pipeline. First, we extract 14 …

In this paper, we evaluate the performance of widely applied soft computing classifiers, in
folk dance recognition problems, emphasizing on posture identification. In particular, the …

In this paper, we introduce a new framework for find out the dance postures from dance
sequences. The data exploited are from 3D point joints as being estimated by the Kinect-II …

Classification of dance types and moves is a challenging application in the field of action
recognition. Owing to its vast applicability and robustness regardless of the image …

The paper presents a method to classify the unique motions in Bharatanatyam dance
videos. Unlike the motions in our daily activities, the motions involved in the dance is rather …

This study proposes a method to systematically visualize the motion-characteristic
distribution of Japanese folk dances passed down in a certain area. This is accomplished by …

With the development of dance diversity, substantial volumes of big data associated with
dance movements have been produced, predominantly in the form of videos and images …

Differentiating different Indian dance forms from an audio signal is a difficult problem.
Though these dances are different from each other, still they can be broadly categorized into …