Description and Recognition of Human Gestures Based on the Transition of Curvature from Motion Images
نویسندگان
چکیده
A new technique for description and recognition of human gestures is presented. First, a method is proposed to represent gestures as an ordered sequence of simple basic motions. It is based on the rate of change of gesture motion direction (referred to as \curvature") that is estimated using optical ow from monocular motion images. Then, proceedings from the method, a real-time gesture recognition system is presented that can be easily given the gesture model and achieve high recognition rates for unspeci c gesture performers. The main di erence between the proposed method and previous ones resides in that our method does not require any preprocessing related to generation of the gesture model such as observation and/or analysis of speci c performers' gestures. Finally, the real-time implementation of the proposed algorithm for manipulating a vehicle by gesture motion is described to demonstrate the utility of the proposed method.
منابع مشابه
3D Hand Motion Evaluation Using HMM
Gesture and motion recognition are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. In particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. In this work, we introduce a 3-...
متن کاملHuman 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...
متن کاملHuman 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...
متن کاملHand 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...
متن کاملFace Recognition in Thermal Images based on Sparse Classifier
Despite recent advances in face recognition systems, they suffer from serious problems because of the extensive types of changes in human face (changes like light, glasses, head tilt, different emotional modes). Each one of these factors can significantly reduce the face recognition accuracy. Several methods have been proposed by researchers to overcome these problems. Nonetheless, in recent ye...
متن کامل