neural network performance analysis for real time hand gesture tracking based on hu moment and hybrid features

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...

A Neural Network based Real Time Hand Gesture Recognition System

Hand Gesture is habitually used in every day life style. It is so natural way to communicate. Hand gesture recognition method is widely used in the application area of Controlling mouse and/or keyboard functionality, mechanical system, 3D World, Manipulate virtual objects, Navigate in a Virtual Environment, Human/Robot Manipulation and Instruction Communicate at a distance. This paper introduce...

Real Time Hand Tracking and Gesture Rec

This paper outlines a system design and implementation of a 3D input device for graphical applications which uses real time hand tracking and gesture recognition to provide the user with an intuitive interface for tomorrow’s applications. Point Distribution Models (PDMs) have been shown to be successful at tracking deformable objects . This system demonstrates how these ‘smart snakes’ can be us...

Real Time Hand Tracking and Gesture Recognition

Real Time Hand Gesture Recognition Including Hand Segmentation and Tracking

In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling occlusion between skin objects to keep track of the status of the occluded parts. This is realized by combining 3 useful features, namely, color, mot...

Real-time Vision-based Hand Gesture Recognition Using Sift Features

This paper introduces a new algorithm based on machine vision for the recognition of hand gesture. In step 1, the Microsoft Kinect sensor is used to capture color images and depth. User’s hand detected by eliminating the background and rescaling image. In the next step, “Scale-invariant feature transform (SIFT)” algorithm is used for the feature extraction. The extracted feature vectors are bui...