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

Nilesh J. Uke, Ravindra C. Thool Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
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  1. Nilesh J Uke and Ravindra C Thool. Article:. International Journal of Applied Information Systems 1(4):1-6, February 2012. BibTeX

    	author = "Nilesh J. Uke and Ravindra C. Thool",
    	title = "Article:",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 1,
    	number = 4,
    	pages = "1-6",
    	month = "February",
    	note = "Published by Foundation of Computer Science, New York, USA"


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.


  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.
  6. cvBlob. ttp://
  7. VXL. Vision-something-Libraries
  8. VLFeat.
  9. SimpleCV.
  10. VIGRA library website [Online].Available:
  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.
  13. Microsoft Research Center
  14. Aurora Company
  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
  20. S. Kakade, NJ Uke, Real Time human detection using covariance matrices as human descriptor , Proceedings of 4th International Conference on Computer and Automation Engineering (ICCAE), 2012


Computer Vision, OpenCV, Object detection, segmentation, Object tracking