Cart (Loading....) | Create Account
Close category search window
 

Research on the Real-Time of the Perception between Objects in Internet of Things Based on Image

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zhanjie Wang ; Sch. of Comput. Sci. & Technol., Dalian Univ. of Technol., Dalian, China ; Guoyuan Miao ; Keqiu Li

In this paper, the application of video-based information processing technology in the Internet of things has been researched. Currently, the real-time of most video-based identification methods is not satisfactory. The Hausdorff distance plays an important role in object recognition. However, when comparing the relationship between objects, the traditional Hausdorff distance even some modified Hausdorff distances need to traverse all the points of the image to be matched, which is a non-linear operator. In order to deal with the real-time problem, an improved Hausdorff distance algorithm based on central detection method is proposed. Due to narrowing the search range of space when calculating the Hausdorff distance, the computing speed has been improved compared with the traditional Hausdorff distance for object recognition. An example of vehicles recognition is used to demonstrate the efficiency of the proposed method. Experimental results show that compared with the LTS-HD, the new Hausdorff distance can not only guarantee the accuracy of matching but also enhance the perception between objects in real time.

Published in:

ChinaGrid Conference (ChinaGrid), 2010 Fifth Annual

Date of Conference:

16-18 July 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.