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Real Time Video Surveillance System

by Sonali Vaidya, Kamal Shah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 14
Year of Publication: 2014
Authors: Sonali Vaidya, Kamal Shah
10.5120/15054-3419

Sonali Vaidya, Kamal Shah . Real Time Video Surveillance System. International Journal of Computer Applications. 86, 14 ( January 2014), 22-27. DOI=10.5120/15054-3419

@article{ 10.5120/15054-3419,
author = { Sonali Vaidya, Kamal Shah },
title = { Real Time Video Surveillance System },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 14 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number14/15054-3419/ },
doi = { 10.5120/15054-3419 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:13.395900+05:30
%A Sonali Vaidya
%A Kamal Shah
%T Real Time Video Surveillance System
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 14
%P 22-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The role of Real Time video surveillance System has been elevated due to increased importance in safety and security. Traditional systems need human operators to understand the activities of objects of interest and take decisions. However, humans do make mistakes. The main reason is the nature of the task is passively watching multiple monitor screens where nothing special happens for a long period of time. The Proposed Real Time video surveillance system is capable of detecting objects of interest, classify and track them . TheReal time surveillance system with the capability of detecting and recognizing motion of a walking person in video which can lead to useful autonomous system. This can be done by using Gait Analysis for tracking scenarios and generating notification to authoritative person.

References
  1. G. Johansson,"Visual Perception of Biological Motion and a Model for its Analysis",Perception and Psychophysics, vol. 14(2):201-211, 1973.
  2. L. T. Kozlowski and J. E. Cutting,"Recognizing the Gender of Walkers from Point-Lights Mounted on Ankles: Some Second Thoughts", Perception & Psychophysics",23(5):459, 1978.
  3. N. H. Goddard,"The Perception of Articulated Motion: Recognizing Moving Light Displays". PhD thesis, University of Rochester, 1992.
  4. A. K. Jain, R. Bolle, and S. Pankanti,editors,"Biometrics:Personal Identification in Networked Society",Kluwer academic publishers,1999.
  5. M. P. Murray,"Gait as a Total Pattern of Movement. American Journal of Physical Medicine",46(1):290-333, 1967.
  6. A. Kale, A. N. Rajagopalan, N. Cuntoor, and V. Kruger,"Gait-Based Recognition of Humans using Continuous HMMs", In Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pages 321-326,2002.
  7. Jianpeng Zhou and Jack Hoang ,"Real Time Robust Human Detection and Tracking System",In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03,page 149,June 2005.
  8. S. J. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, and H. Wechsler, "Tracking Groups of People", Computer Vision and Image Understanding, 80:42-56, 2000.
  9. P. L. Rosin and T. Ellis, "Image Difference Threshold Strategies and Shadow Detection", In Proceedings of 6thBritish Machine Vision Conference, pp. 347-356,1995.
  10. Lifeng He; Yuyan Chao, K. Suzuki,"A Run-Based Two-Scan Labeling Algorithm", IEEE Transactions on Image Processing,17(5):749–756, May 2008.
  11. Sunny Kumar,Pratibha Sharma,"Offline Handwritten & Typewritten Character Recognition using TemplateMatching",IJCSET,4(6):818-825,6June 2013.
  12. ImedBouchrika and Mark S. Nixon,"Model-Based Feature Extraction for Gait Analysis and Recognition",In Proceedings of 3rd international conference on Computer vision/computer graphics collaboration techniques,pp. 150-160,2007.
  13. YigithanDedeoglu,"Moving Object Detection, Tracking And Classification For Smart Video Surveillance",Bilkent University,2004.
  14. Khalid Bashir, Tao Xiang and ShaogangGong,"Feature Selection for Gait Recognition without Subject Cooperation", In Journal of Pattern Recognition Letters,31(13):2052-2060,2010.
  15. Khalid Bashir, Tao Xiang, ShaogangGong,"Feature Selection On Gait Energy Image For Human Identification",IEEE transaction,PP 985-988,2008.
  16. A. Aguado,M. S. Nixon, M. E. Montiel, "Parameterising arbitrary shapes via Fourier descriptors for evidence-gathering extraction", computer vision and image understanding,69(2):202–221,1998.
  17. S. Sarkar, P. Phillips, Z. Liu, I. Vega, P. Grother, and K. Bowyer. ,"The humanID gait challenge problem: Data sets, performance, and analysis", IEEE Transactions on PAMI, 27(2):162–177, 2005.
  18. A. Gersho, "Asymptotically optimal block quantization" IEEE Transaction on Information Theory, vol. 25, pp. 373–380,July1979.
  19. P. S. Huang, C. J. Harris, and M. S. Nixon, "Recognizing Humans by Gait via Parametric Canonical Space," Journal of Artificial Intelligence in Eng. , vol. 13, pp. 359-366, 1999.
  20. J. Han and B. Bhanu" Individual recognition using gait energy image",IEEE Transactions on PAMI, 28(2):316–322, Feb 2006.
  21. Yu, S. , Tan, D. , Tan, T. ," A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition ", In 18th Internat. Conference on Pattern Recognition, pp. 441–444,2006.
Index Terms

Computer Science
Information Sciences

Keywords

Gait analysis GEI (Gait Energy Image) PCA (Principle Component Analysis) MDA (Multiple Discriminant Analysis)

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