ISSN: 2349-5162 | Impact Factor: 5.87

JETIREXPLORE- Search Thousands of research papers

Published in:

Volume 4 Issue 9
eISSN: 2349-5162

Unique Identifier


Page Number


Share This Article

Jetir RMS

Indexing Partner


New techniques improving accuracy of computer vision technologies

Download Paper



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 ( | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 9, page no. pp98-102, September-2017, Available at : &

Publication Details

Published Paper ID: JETIR1709020
Registration ID: 170619
Published In: Volume 4 | Issue 9 | Year September-2017
DOI (Digital Object Identifier):
Page No: 98-102
ISSN Number: 2349-5162

Download Paper

UGC and ISSN Approved Journal | Call For Paper
(Volume 4 | Issue 11 | November 2017 |Impact factor 5.87)

Call For Paper | Volume 4 | Issue 11 | Impact factor 5.87

Important Dates Related to Publication Procedure:
  • » Paper Submission Till: 29 November 2017.
  • » UGC and ISSN Approved Journal
  • » Review (Acceptance/Rejection) Notification: Within 02-04 Days.
  • » Paper Publish:Within 02-07 Days after submitting the all documents.
  • » Frequency: Monthly (12 issue Annually)
  • » Journal Type : Open Access
  • » Publication Charges : 1300 INR
  • »Indexing In Google Scholar, ResearcherID Thomson Reuters, Mendeley : reference manager,,, Research Gate, CiteSeerX, DocStoc, ISSUU, Scribd, and many more | High Impact Factor: 5.87 Digital object identifier (DOI) and Hard Copy of certificate Provided.
Publication and Indexing Patner:

Preview This Article


Download PDF



Print This Page

Impact Factor

Impact factor: 5.87

Jetir RMS