UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 10 | October 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 4 Issue 9
September-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1709020


Registration ID:
170619

Page Number

98-102

Share This Article


Jetir RMS

Title

New techniques improving accuracy of computer vision technologies

Authors

Abstract

The computer vision technology has continued to evolve through advancement in researches. This has continually widened the computer vision and imaging processing to extended applications. This paper analyzes the technological advancement in these aspects. Machine vision system is among the emergent technologies, which digitizes the video images or information from a camera, processes the information to inspect the concerned object, and communicates with the system or the motion control[ ]. 3D and virtual environments help to mimic the real life situations. The abnormality detection for the video parsing helps to solve the inter-class variability, viewpoint dependence and the object articulation, which makes the practice of object detection quite difficult. A video surveillance where foreground pixels are detected through the background subtraction. The curvature self-similarity visual recognition is a feature descriptor, which increase dimensionality such as the self-similarity and the co-occurrence statistics. It extends beyond the current common approximation of the objects by the use of straight lines. The result on the self-similarity curvature proves that there is provision of the accurate information on the straight lines, while the performance has improved based on the feature selection algorithm

Key Words

virtual environments, vision system, 3D, video parsing, virtual recognition, self-similarity

Cite This Article

"New techniques improving accuracy of computer vision technologies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 9, page no.98-102, September-2017, Available :http://www.jetir.org/papers/JETIR1709020.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"New techniques improving accuracy of computer vision technologies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 9, page no. pp98-102, September-2017, Available at : http://www.jetir.org/papers/JETIR1709020.pdf

Publication Details

Published Paper ID: JETIR1709020
Registration ID: 170619
Published In: Volume 4 | Issue 9 | Year September-2017
DOI (Digital Object Identifier): http://doi.one/10.1717/JETIR.17037
Page No: 98-102
Country: Chennai, tamil nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003310

Print This Page

Current Call For Paper

Jetir RMS