An Approach towards Face Counting System using Image Processing Techniques

Authors

  • Arnob S Department of Computer Science and Application, University of North Bengal, Siliguri, India
  • Suvro S Department of Computer Science and Application, University of North Bengal, Siliguri, India
  • Kanishka S Department of Computer Science and Application, University of North Bengal, Siliguri, India

Keywords:

Face counting system, MatLab, Morphological operation, Face Detection, Spatial transform

Abstract

In this modern time, face recognition has gathered much attention and its research has enormously expanded among researchers, since it has many potential applications in computer vision, communication and automatic access control system etc. Especially, human detection is an important part of crowd analysis as the primary goal for automatic human face detection. However, face detection is not very simple as faces of human varies from person to person. They varies in different aspects such as pose variation (front, profile face etc), image orientation, illuminating condition, and facial expression and so on. Therefore, an approach is put forward to evaluate the number of people present in a group image of human. The results found are encouraging.

References

.Craw I.,Tock D., and Bennett A., “Finding Face Features”, Proc. Second European Conf. Computer Vision, pp. 92-96,1992.

.Lanitis A., Taylor C. J., T. F. Cootes, “An automatic face identification system using flexible appearance models,” Image and Vision Computing, Vol.13(5), pp.393-401, 1995.

.Leung T.K., Burl M.C., Perona P., “Finding Faces in ed Scenes Using Random Labeled Graph Matching”, Proc. Fifth IEEE Int’l Conf. Computer Vision, pp. 637-644, 1995.

.Moghaddam B., Pentland A., "Probabilistic visual learning for object representation", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 696-710, 1997 (on-line).

Turk M., Pentland A., “Eigenfaces for recognition,” Journal of Cognitive Neuroscience, Vol.3(1), pp. 71-86, 1991.

.Bernier O.,Collobert M.,Feraud R.,Lemaried V.,Viallet J.E., CoUobert D, "MULTRAK: A system for automatic multiperson localization and tracking in real-time", Proc, IEEE. Int'l Conf. Image Processing, pp. 136-140, 1998.

. Khurana K., Awasthi R.,” Techniques for Object Recognition in Images and Multi-Object Detection” in International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) Vol. 2(4), pp. 118-126, 2013

. Agarwal S., "Edge Detection in blurred images using Ant Colony Optimization Techniques", International Journal of Scientific Research in Computer Science and Engineering, Vol.1(2), PP.21-24, Apr 2013

.Campadeli P., Lanzarotti R., Lipory G.,” Face Detection in Color Image of Generic Scanes”, Italia, IEEE International Conference on Computational Intelegence for Homeland Security and Personal Safety,2004.

. Sudi G. S., Gadgil A.A., "Improved Color Image Segmentation using Kindred Thresholding and Region Merging", International Journal of Computer Sciences and Engineering, Vol.1(3), pp.1-9, Nov -2013

. Wasson V., Singh B., Wasson G, "A Parallel Optimized Approach for Prostate Boundary Segmentation from Ultrasound Images", International Journal of Scientific Research in Computer Sciences and Engineering, Vol.1(1), pp.14-19, Feb 2013

. Kaur B. and Kaur P, "A Comparative Study on Image Segmentation Techniques", International Journal of Computer Sciences and Engineering, Vol.3(2), PP.50-56, Dec -2015

.Kokkinos I., Maragos P.,”Synergy between Object Recognition and image segmentation using Expectation and Maximization Algorithm”, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), Vol. 31(8), pp. 1486-1501, 2009.

Arora K. , Suri K., Arora D. and Pandey V., "Gesture Recognition Using Artificial Neural Network", International Journal of Computer Sciences and Engineering, Vol.2(4), pp. 185-189, Apr -2014

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Published

2025-11-11

How to Cite

[1]
S. Arnob, S. Suvro, and S. Kanishka, “An Approach towards Face Counting System using Image Processing Techniques”, Int. J. Comp. Sci. Eng., vol. 5, no. 2, pp. 34–37, Nov. 2025.

Issue

Vol. 5 No. 2 (2017): IJCSE February Edition

Section

Review Article

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