We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Novel Shape Signature of Geometric Mean of Segmented Centroid Distance Function to Track the Object through Fourier Descriptors

by M. H. Sidram, Nagappa U. Bhajantri
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 14
Year of Publication: 2013
Authors: M. H. Sidram, Nagappa U. Bhajantri
10.5120/14513-2896

M. H. Sidram, Nagappa U. Bhajantri . A Novel Shape Signature of Geometric Mean of Segmented Centroid Distance Function to Track the Object through Fourier Descriptors. International Journal of Computer Applications. 83, 14 ( December 2013), 1-6. DOI=10.5120/14513-2896

@article{ 10.5120/14513-2896,
author = { M. H. Sidram, Nagappa U. Bhajantri },
title = { A Novel Shape Signature of Geometric Mean of Segmented Centroid Distance Function to Track the Object through Fourier Descriptors },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 14 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number14/14513-2896/ },
doi = { 10.5120/14513-2896 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:59:20.319853+05:30
%A M. H. Sidram
%A Nagappa U. Bhajantri
%T A Novel Shape Signature of Geometric Mean of Segmented Centroid Distance Function to Track the Object through Fourier Descriptors
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 14
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The process explicitly dedicated to estimate the path of the object as it moves along the region of scene in the image plane is principle of tracking. In other words it is a strategy to detect and track moving object through a sequence of frames. In this work, optical flow based on Horn-Schunk with Barren, Fleet and Beuchemin (BFB) kernel has been employed to estimate the motion vectors. The peripheries of moving objects are extracted for different shape signatures such as boundary, edge, area, curvature and centroid distance functions. Fourier descriptors of particular shape signature for each of the candidate and model template are extracted. Similarity between the model and candidate templates is confirmed by corresponding minimum Minkowski distance. Subsequently, best match candidate will be updated. However, centroid distance function has remarked some potential. Thus, it further motivated to mine exhaustively to throw in the proposed novel criteria such as the Geometric Mean of Segmented Centroid (GMSC) distance function to track the object. The proposed method of GMSC distance function has shown significant change in the tracking outcome.

References
  1. Yilmaz A. , Javed O. , and Shah M. Object tracking: A survey. ACM Computing Surveys, 38,4 Article 13, Dec 2006.
  2. Andre Folkers and Hana Samet. Content based image retrieval using fourier descriptors on a logo database. In Vol. 3, Proceedings of 16th Int. Conf. on Pattern Recognition, pages 521–524, August 2002.
  3. Heesch D. and Ruger S. Combining features for contentbased sketch retrieval a comparative evaluation of retrieval performance. In 24th BCS-IRSG European Colloquium on IR Research, Lecture Notes in Computer Science 2291, pages 41–52. Springer, 2002.
  4. Barron J. , Fleet D. , and Beauchemin S. Performance of optical flow techniques. Int. J. Comput. Vis. , 12(2):43–77, 1994.
  5. Horn B. and Schunck B. Determining optical flow. Artificial Intelligence, 17:185–203, 1981.
  6. Yang Mingqiang, Kpalma Kidiyo, and Ronsin Joseph. A survey of shape feature extraction techniques. PatternRecognition Techniques: Technology and Applications, 17:43–90, 2008.
  7. Zhang D. and Lu G. Review of shape representation and description techniques. Pattern Recognition, 37:1–19, 2004.
  8. Zhang D. and Lu G. Shape-based image retrieval using generic fourier descriptor. Signal Processing: Image Communication, 17(10):825–848, 2002.
  9. Zahn C. T. and Roskies R. Z. Fourier descriptors for plane closed curves. IEEE Trans. on Computer Science, C-21(3):269–281, 1972.
  10. Mehtre B M. , Kankanhalli M. S. , and Lee W. F. Shape measures for content based image retrieval: A comparison. Information Processing and Management, 33(3):319–337, 1997.
  11. Zhang D. and Lu G. Content-based shape retrieval using different shape descriptors: A comparative study. In Proc. of IEEE International Conference on Multimedia and Expo, pages 317–320, August 22-25 2001.
  12. Zhang D. and Lu G. A comparative study of fourier descriptors for shape representation and retrieval. In Proc. 5th Asian Conference on Computer Vision, 2002.
  13. Borel R. J. A mathematical pattern recognition technique-based on contour shape properties. 1965.
  14. Persoon E. and Fu K. Shape discrimination using fourier descriptors. IEEE Trans. on Systems, Man and Cybernetics, 7(3):170–179, 1977.
  15. Amanatiadis A. , Kaburlasos V. G. , Gasteratos A. , and Papadakis S. E. A comparative study of invariant descriptors for shape retrieval. May 11-12 2009.
  16. Belongie S. , Malik J. , and Puzicha J. Shape matching and object recognition using shape contexts. IEEE Trans. on Pattern Anal. Mach. Intell. , pages 509–522, 2002.
  17. Sarfraz M. , Mehmood ul Hassan, and Iqbal M. Object recognition using fourierdescriptors and genetic algorithm. pages 318–323, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Gray Optical flow Shape signature Fourier descriptors (FD) Object Tracking Geometric Mean of Segmented Centroid distance function (GMSC)

Powered by PhDFocusTM