Solent Home | SEA Home | About | Policies

Solent University Logo

Solent Electronic Archive
SEA HOMEPAGE Back to SEA homepage

SOLENT ELECTRONIC ARCHIVE

  • Home
  • About
  • Policies
  • Latest Additions
  • Search
  • Browse by Year
  • Browse by Subject
  • Browse by Faculty
  • Browse by Creator

USER MENU

Login

A hand detection algorithm from real-time imagery

Dutton, Zack. (2016). A hand detection algorithm from real-time imagery. [Final Year Project]

[img] Microsoft Word
Final Report - Zack Dutton.docx - Submitted Version
Restricted to Registered users only

Download (10MB)

Abstract

The basis of this project was to create a program capable of performing real-time hand detection from a given image from camera hardware. Various techniques and methods were applied to a given image to allow the program to detect a user’s hands and allow a form of interaction using sprites. The tools and resources included in the development of this project include the OpenCV software library that provides a number of useful image manipulation and image smoothing techniques used within this project. The Kinect 2.0 sensor and Kinect SDK were also used for this project to provide the different types of image given for this project. This project has explored several methods of how this can be approached and displayed the best result which provides a form of interaction with the user. Some of the techniques applied range from edge detection algorithms and image smoothing techniques all of which have been either explored or discussed within this project.

Item Type: Final Year Project
Subjects: ARTS, MEDIA AND HUMANITIES > Animation and Video Games
Faculties: Faculty of Creative Industries > School of Art and Design
Depositing User: Christian Brindley
Date Deposited: 20 Jun 2016 15:17
Last Modified: 01 Aug 2016 13:56
URI: https://ssudl.solent.ac.uk/id/eprint/3398

Actions (login required)

View Item View Item

Disclaimer | Privacy policy © Solent University

Main switchboard tel: 023 8201 3000