The Design And Implementation Of Gesture Recognition Based On Computer Vision

With the development of computer vision technology, theory and techniques of computer vision-related research in the field of human-computer interaction has been more widely used. Gestures as a common means of communication between people, is an ideal choice for the new human-computer interaction, has been of great concern and extensive research. Gesture recognition is an important and hot research topics in computer vision, which has a very broad application prospects in human-computer interaction systems.The use of computer vision research related theory and technology, design and implement a set of gesture recognition demo system. The system is captured by the camera operator via gestures video, image processing and image analysis methods to identify different gestures and converts it into a moving car will be appreciated that motion control commands sent to the car via the wireless communication module Zig Bee device, Implementation of the trolley sport control. The gesture recognition system according to the movement area of ??human gesture, the difference between hand-type,as well as static and dynamic standing design different classification algorithms. For gestures in the body positioning problem, based on location and zoning of human face recognition algorithm combined with the color of his clothes, and put forward a gesture trajectory analysis to quantify motion tracking algorithm based on Qt multi-threading technology to improve real-time systems.The system is based on Windows 7 operating system, using C ++, Qt 4.6 and OpenCV 2.4.9 image processing library, and in the Visual Studio 2010 development environment. Gesture recognition system includes image acquisition, image preprocessing,face detection, detection vest, the body region modeling, motion tracking, gesture recognition, action parsing modules. Experiments show that the gesture recognition system with fast response, high recognition rate, real-time features.