Abstract 'Cultural heritage conservation'encompasses all actions and measures taken
towards the life of cultural heritage while strengthening the long-term preservation of its …

Deep learning is the most dominant area to perform the complex challenging tasks such as
image classification and recognition. Earlier researchers have been proposed various …

Human body-pose estimation is a complex problem in computer vision. Recent research
interests have been widened specifically on the sports, yoga, and dance (SYD) postures for …

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 …

Identifying k ey frames is the first and necessary step before solving the variety of other B
haratanatyam problems. The paper aims to partition the momentarily stationary frames (key …

The aim of this work is to develop a classifier for the Indian classical dance (ICD) online
Bharatanatyam videos using deep learning techniques. Bharatanatyam is the most ancient …

Human activity analysis is useful in a variety of domains, including video surveillance,
biometrics, and home health monitoring systems. In computer vision field, extraction and …

'Ballet'is a-century concert performing dance form that originated in Italy. Current AI models
for ballet dance pose identification in live performance videos is challenging due to …

Human pose identification from 2D video sequences is extremely challenging under the
influence of recording artifacts such as lighting, sensor motion, unpredictable subject …

Recognizing intricate hand gestures is challenging in various applications like human-
computer interaction and e-learning. Accurate classification is crucial for preserving cultural …