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Reseach Article

Cultivating Research in Computer Vision within Graduates and Post-Graduates using Open Source

by Nilesh J. Uke, Ravindra C. Thool
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 4
Year of Publication: 2012
Authors: Nilesh J. Uke, Ravindra C. Thool
10.5120/ijais12-450154

Nilesh J. Uke, Ravindra C. Thool . Cultivating Research in Computer Vision within Graduates and Post-Graduates using Open Source. International Journal of Applied Information Systems. 1, 4 ( February 2012), 1-6. DOI=10.5120/ijais12-450154

@article{ 10.5120/ijais12-450154,
author = { Nilesh J. Uke, Ravindra C. Thool },
title = { Cultivating Research in Computer Vision within Graduates and Post-Graduates using Open Source },
journal = { International Journal of Applied Information Systems },
issue_date = { February 2012 },
volume = { 1 },
number = { 4 },
month = { February },
year = { 2012 },
issn = { 2249-0868 },
pages = { 1-6 },
numpages = {9},
url = { https://www.ijais.org/archives/volume1/number4/78-0154/ },
doi = { 10.5120/ijais12-450154 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:41:18.152820+05:30
%A Nilesh J. Uke
%A Ravindra C. Thool
%T Cultivating Research in Computer Vision within Graduates and Post-Graduates using Open Source
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 1
%N 4
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we discuss suitability of the using an open source environment; OpenCV for providing effective solutions for complex image processing and vision algorithm for real time application for UG and PG students projects. Computer Vision (CV) applications require extensive knowledge of digital signal processing, mathematics, statistics and perception. OpenCV is an open source vision library suitable for such computer vision programs. It’s always benefits to students to learn theoretical aspects of CV concepts by practicing in labs and getting hand-on expertise. In this paper, we describe our experience of using open source library for post-gradates and undergraduate students’ teaching. We also report the experience of developing the projects based on computer vision to Bachelor of Engineering in Information Technology (BE-IT) and Master of Engineering in Information Technology (ME-IT) courses. Initial tutorials designed help students to understand basic concepts of computer vision. Small applications development gives lot of confidence in executing complex assignments and moderate level projects. Statistics shows that projects undertaken by students had increased due to extensive practice on openCV environment. Finally we describe few example project and dissertation submitted in last two years by the students.

References
  1. Qingcang Yu, Cheng, H.H., Cheng, W.W., Xiaodong Zhou, Interactive open architecture computer vision, 2003 Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence, pp. 406- 410, 2003
  2. G. Bradski, A. Kaehler, 2008, Learning OpenCV- Computer Vision with the OpenCV Library, O'Reilly
  3. Changsong Shen, Fels, S.S., Little, J.J., OpenVL: Towards A Novel Software Architecture for Computer Vision, Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on , vol., no., pp.1-8, 17-22 June 2007
  4. Chaczko, Z., Braun, R., Teaching Computer Vision for telemedicine systems using OpenCV, Information Technology Based Higher Education and Training (ITHET), 2010 9th International Conference on , vol., no., pp.17-20, April 29 2010-May 1 2010
  5. Delft Scientific Image Processing Library. http://www.diplib.org/diplib
  6. cvBlob. ttp://opencv.willowgarage.com/wiki/cvBlobsLib
  7. VXL. http://vxl.sourceforge.net/ Vision-something-Libraries
  8. VLFeat. http://www.vlfeat.org/
  9. SimpleCV. http://simplecv.org/
  10. VIGRA library website [Online].Available:http://kogs-www.informatik.uni-hamburg.de/?koethe/vigra.
  11. Jara, C.A., Candelas, F.A., Gil, P., Torres, F., Esquembre, F., Dormido, S, “Ejs+EjsRL: An interactive tool for industrial robots simulation, Computer Vision and remote operation”, Robotics and Autonomous Systems. Vol. 59 (6). Pp. 389-401. 2011.
  12. National Instrument Company. http://www.ni.com/
  13. Microsoft Research Center http://research.microsoft.com/projects/VisSDK/.
  14. Aurora Company www.hallogram.com/leadtool/imgsrv/
  15. Cavallaro, A, Image analysis and computer vision for undergraduates," Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on , vol.5, no., pp. v/577- v/580 Vol. 5, 18-23 March 2005
  16. Robert Laganière, OpenCV 2 Computer Vision Application Programming Cookbook, Packt Publishing- 2011
  17. MD Shelar, NJ Uke, Video Segmentation and Video Indexing For E-Learning, Proceedings of International Conference on Communication and Electronics Information (ICCEI), 2012
  18. Nilesh J. Uke, Ravindra C. Thool, Moving Vehicle Detection for Measuring Traffic Count Using OpenCV ,Proceedings of 4th International Conference on Conference on Electronics Computer Technology (ICECT), 2012 – Paper accepted
  19. VV Kimbahune, NJ Uke, Blood Cell Image Segmentation And Counting, International Journal of Engineering Science and Technology (IJEST), Vol. 3 No. 3, PP. 2448, 2011
Index Terms

Computer Science
Information Sciences

Keywords

Computer Vision OpenCV Object detection segmentation Object tracking