Parametric Hand Tracking and Its Applications

نویسندگان

  • Afshin Sepehri
  • Rama Chellappa
چکیده

An approach for estimating the 3D absolute position and orientation of the hand in space using parametric modelling of the central region of the hand and some of its applications are presented. A stereo camera is used to first build a preliminary disparity map of the hand. Then, the best fitting plane to the disparity points is computed using robust estimation. Next, the 3D hand plane is calculated based on the disparity plane and the six parameters of position and orientation of the hand are estimated. Tracking the hand region over a sequence of frames and coping with noise using robust modelling of the hand motion enables us to estimate the trajectory of the hand in space. Experimental results demonstrate the accuracy of this technique. A virtual drawing system and a virtual marble game are presented as two sample applications. In virtual drawing, the 3D position of the hand in space is estimated. Then, by tracking the central region of the hand in 3D and estimating a virtual plane in space, the intended drawing of the user is recognized. This system can be used to communicate drawings and alphabets to a computer where a classifier can transform the drawn alphabets into interpretable characters. It is also shown how this system can be used to create multi-stroke drawings. In the virtual marble game, instantaneous orientation of the hand is simulated to render a graphical scene of the game board. Real-time visual feedback allows the user to navigate a virtual ball in a maze.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Neural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features

This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...

متن کامل

Adaptive fuzzy sliding mode and indirect radial-basis-function neural network controller for trajectory tracking control of a car-like robot

The ever-growing use of various vehicles for transportation, on the one hand, and the statistics ofsoaring road accidents resulting from human error, on the other hand, reminds us of the necessity toconduct more extensive research on the design, manufacturing and control of driver-less intelligentvehicles. For the automatic control of an autonomous vehicle, we need its dynamic...

متن کامل

Delay Compensation on Fuzzy Trajectory Tracking Control of Omni-Directional Mobile Robots

This paper presents a delay compensator fuzzy control for trajectory tracking of omni-directional mobile robots. Fuzzy logic control (FLC) of the robots is a suitable strategy for dealing with model uncertainties, nonlinearities and disturbances.  On the other hand, in many robotic applications such as mobile robots, delay phenomenon is able to substantially deteriorate the behavior of system's...

متن کامل

Fixed-point FPGA Implementation of a Kalman Filter for Range and Velocity Estimation of Moving Targets

Tracking filters are extensively used within object tracking systems in order to provide consecutive smooth estimations of position and velocity of the object with minimum error. Namely, Kalman filter and its numerous variants are widely known as simple yet effective linear tracking filters in many diverse applications. In this paper, an effective method is proposed for designing and implementa...

متن کامل

Applying mean shift and motion detection approaches to hand tracking in sign language

Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. Several...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005