This article presents a framework for real-time analysis and visualization of ballet dance
movements performed within a Cave Virtual Reality Environment (CAVE). A Kinect sensor …

Statistical modeling provides a useful and well grounded framework to conduct inference
from data. This has given rise to the development of varied rich suite of models and …

Third generation surveillance systems are largely requested for intelligent surveillance of
different scenarios such as public areas, urban traffic control, smart homes and so on. They …

High precision recognition of human actions directly from video records is still open problem.
In this paper an approach for human action recognition for full body analysis based on a …

The majority of methods for recognizing human actions are based on single-view video or
multi-camera data. In this paper, we propose a novel multi-surface video analysis strategy …

Automatic facial image analysis has received considerable research interests due to its
important role in computer vision and biometrics. As the key component, face feature is …

In this paper, we propose a new approach for the person re-identification problem,
discovering the correct matches for a query pedestrian image from a set of gallery images. It …

Abstract Machine learning has been extensively investigated over the last three decades for
its capability to learn mapping of functions from patterns. Nowadays, machine learning is …

Cross domain recognition extracts knowledge from one domain to recognize samples from
another domain of interest. The key to solving problems under this umbrella is to find out the …

Abstract Development of high precision systems for recognition of human actions directly
from video records is still open problem. Recently, in smart environments the recognition of …