Gesture Recognition to Make Umpire Decisions

Automatic Labeling of Sports Video Using Umpire Gesture Recognition

We present results on an extension to our approach for automatic sports video annotation. Sports video is augmented with accelerometer data from wrist bands worn by umpires in the game. We solve the problem of automatic segmentation and robust gesture classification using a hierarchical hidden Markov model in conjunction with a filler model. The hierarchical model allows us to consider gestures...

Gesture Recognition Using the Linear Combination of Membership Degrees of Observations

Human Computer Interaction Using Vision-Based Hand Gesture Recognition

With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...

Hand Gesture Recognition from RGB-D Data using 2D and 3D Convolutional Neural Networks: a comparative study

Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement dynamics, represented by temporal features, have to be extracted by analyzing the total fr...

Classifier Fusion for Gesture Recognition using a Kinect Sensor

Gesture recognition is becoming a more and more popular research topic since it can be applied to lots of areas, such as vision-based interface, communication and interaction. In this paper, experiments are implemented to verify the potential to improve vision based gesture recognition performance using multiple classifiers. The proposed approach implements gesture recognition which combines de...