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Reseach Article

Real Time Motion Detection using Dynamic Camera

by Mayuri Konde, Manasi Chaudhari, Vikas Yadav, Vidya Kadam
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 7
Year of Publication: 2015
Authors: Mayuri Konde, Manasi Chaudhari, Vikas Yadav, Vidya Kadam
10.5120/19990-1651

Mayuri Konde, Manasi Chaudhari, Vikas Yadav, Vidya Kadam . Real Time Motion Detection using Dynamic Camera. International Journal of Computer Applications. 114, 7 ( March 2015), 18-20. DOI=10.5120/19990-1651

@article{ 10.5120/19990-1651,
author = { Mayuri Konde, Manasi Chaudhari, Vikas Yadav, Vidya Kadam },
title = { Real Time Motion Detection using Dynamic Camera },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 7 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number7/19990-1651/ },
doi = { 10.5120/19990-1651 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:52:05.209763+05:30
%A Mayuri Konde
%A Manasi Chaudhari
%A Vikas Yadav
%A Vidya Kadam
%T Real Time Motion Detection using Dynamic Camera
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 7
%P 18-20
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays, security of valuable and secret assets is very important for large organisation companies. Need of an efficient and reliable security system is cause due to limitation of human resources and man power. High level surveillance system for security is implemented to overcome this limitations and errors. In this system, dynamic camera is used for video surveillance which will feed video stream to system. System will perform various image processing operations to detect the object.

References
  1. G. L. Foresti, C. S. Regazzoni, and R. Visvanathan, "Scanning theissue/technology—Special issue on video communications, processingand understanding for third generation surveillance systems," Proc. IEEE, vol. 89, no. 10, pp. 1355–1367, Oct. 2001.
  2. S. Misra,M. Reisslein, and G. Xue, "A survey ofmultimedia streamingin wireless sensor networks," IEEE Communications Surveys & Tutorials ,Fourth Quarter, vol. 10, no. 4, pp. 18–39, 2008.
  3. Y. Si, J. Mei, and H. Gao, "Novel approaches to improve robustness, accuracy and rapidity of iris recognition systems," IEEE Trans. IndInf. , vol. 8, no. 1, pp. 110–117, 2012.
  4. P. N. Huu, V. Tran-Quang, and T. Miyoshi, "Image compression algorithm considering energy balance on wireless sensor networks, in IEEE Int. Conf. Industrial Informatics (INDIN), Osaka, Japan, Jul. 13–16, 2010, pp. 1005–1010.
  5. A. Hampapur,L. Brown, J. Connell,A. Ekin, N. Haas,M. Lu,H. Merkl,S. Pankanti, A. Senior, C. -F. Shu, and Y. L. Tian, "Smart video surveillance: Exploring the concept of multi-scale spatiotemporal tracking, "IEEE Spatial Process. Mag. , vol. 22, no. 2, pp. 38–51, Mar. 2005.
  6. D. Wu,Y. T. Hou, and Y. Q. Zhang, "Transporting real-time video over the internet: Challenges and approaches," Proc. IEEE, vol. 88, no. 12,pp. 1855–1877, Dec. 2000.
  7. C. Caione, D. Brunelli, and L. Benini, "Distributed compressive sampling for lifetime optimization in dense wireless sensor networks, "IEEE Trans. Ind. Inf. , vol. 8, no. 1, pp. 30–40, 2012.
  8. M. García-Valls, P. Basanta-Val, and I. Estévez-Ayres, "Adaptive real time video transmission over DDS," in IEEE Int. Conf. Industrial Informatics(INDIN), Osaka, Japan, Jul. 13–16, 2010, pp. 130–135. 180 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. 9, NO. 1, FEBRUARY 2013
  9. H. Koto, Y. Hiehata, S. Uemura, and H. Nakamura, "Analysis of control accuracy for access control method based on sample monitoring in interactive tv services," in IEEE Int. Conf. Industrial Informatics(INDIN), Osaka, Japan, Jul. 13–16, 2010, pp. 991–998.
  10. F. -L. Lian, J. K. Yook,D. M. Tilbury, and J. R. Moyne, "Network architecture and communication modules for guaranteeing acceptable control and communication performance for networked multi-agent systems, "IEEE Trans. Ind. Inf. , vol. 2, no. 1, pp. 12–24, Feb. 2006.
  11. B. Andersson, N. Pereira,W. Elmenreich, E. Tovar, F. Pacheco, and N. Cruz, "A scalable and efficient approach for obtaining measurements in CAN-based control systems," IEEE Trans. Ind. Inf. , vol. 4, no. 2, pp. 80–91, May 2008.
  12. J. M. Shapiro, "Embedded image coding using zero trees of wavelet coefficients". IEEE Trans. Signal Process. , vol. 41, no. 12, pp. 3445–3462, Dec. 1993.
Index Terms

Computer Science
Information Sciences

Keywords

Image processing voting based motion estimation algorithm Priority based spatial coding algorithm content based temporal sampling algorithm Video Surveillance system.