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JCR Impact Factor: 1.102
JCR 5-Year IF: 0.734
Issues per year: 4
Current issue: Feb 2021
Next issue: May 2021
Avg review time: 56 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

2020-Jun-11
Starting on the 15th of June 2020 we wiil introduce a new policy for reviewers. Reviewers who provide timely and substantial comments will receive a discount voucher entitling them to an APC reduction. Vouchers (worth of 25 EUR or 50 EUR, depending on the review quality) will be assigned to reviewers after the final decision of the reviewed paper is given. Vouchers issued to specific individuals are not transferable.

2019-Dec-16
Starting on the 15th of December 2019 all paper authors are required to enter their SCOPUS IDs. You may use the free SCOPUS ID lookup form to find yours in case you don't remember it.

2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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  2/2010 - 5

 HIGH-IMPACT PAPER 

Kalman Filter Based Tracking in an Video Surveillance System

SULIMAN, C. See more information about SULIMAN, C. on SCOPUS See more information about SULIMAN, C. on IEEExplore See more information about SULIMAN, C. on Web of Science, CRUCERU, C. See more information about  CRUCERU, C. on SCOPUS See more information about  CRUCERU, C. on SCOPUS See more information about CRUCERU, C. on Web of Science, MOLDOVEANU, F. See more information about MOLDOVEANU, F. on SCOPUS See more information about MOLDOVEANU, F. on SCOPUS See more information about MOLDOVEANU, F. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (2,017 KB) | Citation | Downloads: 1,678 | Views: 6,568

Author keywords
video surveillance system, optical flow, Kalman filtering, image processing, tracking

References keywords
tracking(11), surveillance(8), video(6), intern(5), human(5), processing(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 30 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02005
Web of Science Accession Number: 000280312600005
SCOPUS ID: 77954639594

Abstract
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Full text preview
In this paper we have developed a Matlab/Simulink based model for monitoring a contact in a video surveillance sequence. For the segmentation process and corect identification of a contact in a surveillance video, we have used the Horn-Schunk optical flow algorithm. The position and the behavior of the correctly detected contact were monitored with the help of the traditional Kalman filter. After that we have compared the results obtained from the optical flow method with the ones obtained from the Kalman filter, and we show the correct functionality of the Kalman filter based tracking. The tests were performed using video data taken with the help of a fix camera. The tested algorithm has shown promising results.


References | Cited By  «-- Click to see who has cited this paper

[1] M. A. Ali, S. Indupalli, B. Boufama, "Tracking Multiple People for Video Surveillance," First Intern. Workshop on Video Processing for Security, June 2006.

[2] B. Benfold, I. Reid, "Guiding Visual Surveillance by Tracking Human Attention," Proc. of the 20th British Machine Vision Conf., September 2009.

[3] L.M. Fuentes, S.A. Velastin, "From tracking to advanced surveillance," Proc. of the Intern. Conf. on Image Processing, vol. 3, pp. 121-124, September 2003.
[CrossRef]


[4] K.P. Horn, B.G. Schunck, "Determining optical flow," Artificial intelligence, vol. 17, pp. 185-203, 1981.
[CrossRef] [Web of Science Times Cited 5757] [SCOPUS Times Cited 4621]


[5] C. C. Hsieh, S. S. Hsu, "A Simple and Fast Surveillance System for Human Tracking and Behavior Analysis," Proc. of the 3rd Intern. IEEE Conf. on Signal-Image Technologies and Internet-Based System, pp. 812-818, December 2007.
[CrossRef] [Web of Science Record] [SCOPUS Times Cited 11]


[6] F. Jean, R. Bergevin, A.B. Albu, "Body tracking in human walk from monocular video sequences," Proc. of the 2nd Canadian Conf. on Computer and Robot Vision, pp. 144-151, May 2005.

[7] N. Koenig, "Toward real-time human detection and tracking in diverse environments," Proc. of the 6th IEEE Intern. Conf. on Development and Learning, pp. 94-98, July 2007.
[CrossRef] [SCOPUS Times Cited 13]


[8] S. Kong, M.K. Bhuyan, C. Sanderson, B.C. Lovell, "Tracking of Persons for Video Surveillance of Unattended Environments," Proc. of the 19th Intern. Conf. on Pattern Recognition, pp. 1-4, December 2008.
[CrossRef]


[9] W. Niu, L. Jiao, D. Han, Y. F. Wang, "Real-time multiperson tracking in video surveillance," Proc. of the 4th Pacific Rim Conf. on Multimedia, vol. 2, pp. 1144-1148, December 2003.

[10] A.W. Senior, G. Potamianos, S. Chu, Z. Zhang, and A. Hampapur, "A comparison of multicamera person-tracking algorithms," Proc. IEEE Int. Works. Visual Surveillance, May 2006.

[11] J. Wang, Y.g Yin, H. Man, "Multiple Human Tracking Using Particle Filter with Gaussian Process Dynamical Model," EURASIP Journal on Image and Video Processing, vol. 2008, Article ID 969456, 10 pages, 2008.
[CrossRef] [Web of Science Times Cited 47] [SCOPUS Times Cited 16]


[12] G. Welch, G. Bishop, "An Introduction to the Kalman Filter," Technical Report: TR95-041, University of North Carolina, 2006.

[13] J. Yao, J.M. Odobez, "Multi-Camera 3d Person Tracking With Particle Filter In A Surveillance Environment, "Proc. of the 16th European Signal Processing Conf., August 2008.

References Weight

Web of Science® Citations for all references: 5,804 TCR
SCOPUS® Citations for all references: 4,661 TCR

Web of Science® Average Citations per reference: 446 ACR
SCOPUS® Average Citations per reference: 359 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-03-04 21:18 in 42 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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