Extracting and recognizing complex human movements from unconstrained online/offline
video sequence is a challenging task in computer vision. This paper proposes the …

Robust detection of hand gestures has remained a challenge due to background clutter
encountered in real-world environments. In this work, a two-stage deep learning based …

Gesture recognition is an ideal means of interaction because it allows users not to have to
make contact with any surface, which is a safe and hygienic means, especially in the …

Understanding the underlying semantics of performing arts like dance is a challenging task.
Analysis of dance is useful to preserve cultural heritage, make video recommendation …

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 …

Classical dancers all over the world use various body gestures to communicate to the
audience the intended meaning. The study of these gestures can help in better …

The efforts are taken for cultural heritage preservation lead to many digitization initiatives.
Indian Classical Dance and its tradition has proven historical importance. Computer-aided …

This paper presents a comprehensive survey of machine learning techniques used for
dance classification, especially in the context of dances of Indian origin. The advances and …

Gesture recognition has been studied for many decades and remains an open problem. One
possible reason is that the features extracted for gesture recognition are not effective …

Robust detection of hands in images at different scales, especially, small-sized hands, has
remained a challenge in computer vision. In this work, we design a multi-scale deep …