… not use hand detection algorithm, the size of training images … with the size of images captured
from the video file in the … 160 × 120 pixels training images size to build another cluster and …

… human objects in the video. Although the current research in the field of human motion gesture
recognition has achieved certain results, the human motion gesture recognition in real life …

… hand gesture recognition from depth cameras is the lack of a dataset that contains both fingertip
information and hand gesture recognition. … multi-people in-depth image using the Kinect …

… frames and classify underlying three-dimensional motion patterns. We … an image sequence
based on motion trajectories. For concreteness, we focus on image sequences showing hand …

… the use of video clips extracted from real-world videos is the potential presence of significant
camera motion, which is the case for approximately 2/3 of the clips in our database as …

… The motion mask is applied to the skin likelihood image to obtain the hand likelihood image.
Using the integral image [25] of the hand likelihood image, we efficiently compute for every …

… , hand gesture recognition was achieved with wearable sensors attached directly to the hand
… the hybrid system based on skin detect and motion detection is more reliable for gesture …

… hand gesture recognition from the RGB images, however, little work has been done on
recognition from videos. … Motivated by this, we present the video based hand gestures recognition …

… the motion in videos. In the early stage, the silhouette of performers is used for … gesture
recognition. Two famous indicators are motion energy image (MEI) and motion history image (MHI…

… The objective of this paper is to develop a real time hand gesture recognition system … hand
gesture recognition for device control and discuss the feasibilities of proposed hand gestures …