2/2010 - 5 |
Kalman Filter Based Tracking in an Video Surveillance SystemSULIMAN, C. , CRUCERU, C. , MOLDOVEANU, F. |
Extra paper information in |
Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF (2,017 KB) | Citation | Downloads: 2,146 | Views: 7,820 |
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
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 |
Web of Science® Times Cited: 10 [View]
View record in Web of Science® [View]
View Related Records® [View]
Updated 2 days, 4 hours ago
SCOPUS® Times Cited: 12
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
[1] Alternating Projections Filtering Algorithm to Track Moving Objects, Qranfal, Youssef, Journal of Applied Mathematics, ISSN 1110-757X, Issue , 2019.
Digital Object Identifier: 10.1155/2019/8450905 [CrossRef]
[2] A Novel Target Tracking Algorithm for Simultaneous Measurements of Radar and Infrared Sensors, GHAZAL, M., DOUSTMOHAMMADI, A., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.03009 [CrossRef] [Full text]
[3] Incremental multi-class semi-supervised clustering regularized by Kalman filtering, Mehrkanoon, Siamak, Agudelo, Oscar Mauricio, Suykens, Johan A.K., Neural Networks, ISSN 0893-6080, Issue , 2015.
Digital Object Identifier: 10.1016/j.neunet.2015.08.001 [CrossRef]
[4] 6DOF Wireless Tracking Wand Using MARG and Vision Sensor Fusion, Chintalapalli, Harinadha Reddy, Patil, Shashidhar, Nam, Sanghun, Park, Sungsoo, Chai, Young Ho, International Journal of Distributed Sensor Networks, ISSN 1550-1477, Issue 6, Volume 10, 2014.
Digital Object Identifier: 10.1155/2014/864768 [CrossRef]
[5] Robust Stereo-Vision Based 3D Object Reconstruction for the Assistive Robot FRIEND, RISTIC-DURRANT, D., GRIGORESCU, S. M., GRASER, A., COJBASIC, Z., NIKOLIC, V., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 11, 2011.
Digital Object Identifier: 10.4316/AECE.2011.04003 [CrossRef] [Full text]
[6] Orthogonal Functions Applied in Antenna Positioning, NIKOLI, S., ANTIC, D., DANKOVIC, B., MILOJKOVIC, M., JOVANOVIC, Z., PERIC, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 10, 2010.
Digital Object Identifier: 10.4316/aece.2010.04006 [CrossRef] [Full text]
[7] Video-based face recognition by Auto-Associative Elman Neural network, Zhang, Bailing, Zhou, Juntao, 2014 7th International Congress on Image and Signal Processing, ISBN 978-1-4799-5835-1, 2014.
Digital Object Identifier: 10.1109/CISP.2014.7003755 [CrossRef]
[8] Raspberry pi based single object tracking using Bayesian filter example, DipaliAmbadas, Bhor, Bodake, Shekhar H., 2017 2nd International Conference for Convergence in Technology (I2CT), ISBN 978-1-5090-4307-1, 2017.
Digital Object Identifier: 10.1109/I2CT.2017.8226153 [CrossRef]
[9] Background modelling, detection and tracking of human in video surveillance system, Kaur, Rajvir, Singh, Sonit, 2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), ISBN 978-1-4799-5871-9, 2014.
Digital Object Identifier: 10.1109/CIPECH.2014.7019097 [CrossRef]
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.