In RGB-D sensor-based pose estimation, training data collection is often a challenging task.
In this paper, we propose a new hand motion capture procedure for establishing the real …

The goal of this paper is to analyze and build an algorithm to recognize hand gestures
applying to smart home applications. The proposed algorithm uses image processing …

With advances in technology, robots play an important role in our lives. Nowadays, we have
more chance to see robots service in our society such as intelligent robot for rescue and for …

Human hand recognition plays an important role in a wide range of applications ranging
from sign language translators, gesture recognition, augmented reality, surveillance and …

Ever since the availability of real-time three-dimensional (3D) data acquisition sensors such
as time-of-flight and Kinect depth sensor, the performance of gesture recognition can be …

In the hand gesture recognition process, manually designed features are difficult to achieve
good results under the condition of changeable gestures and complex backgrounds. In this …

Human face and hand detection, recognition and tracking are important research areas for
many computer interaction applications. Face and hand are considered as human skin …

Video surveillance is one of the most active research topics in the computer vision due to the
increasing need for security. Although surveillance systems are getting cheaper, the cost of …

Hand pose estimation in cluttered environment is always challenging. In this paper, we
address the problem of hand pose estimation from RGB-D sensor. To achieve robust real …

The emergence of new pervasive wearable technologies (eg action cameras and smart
glasses) calls attention to the so called First Person Vision (FPV). In the future, more and …