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Kalman Filter Based Tracking in an Video Surveillance SystemSULIMAN, C. , CRUCERU, C. , MOLDOVEANU, F.
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video surveillance system, optical flow, Kalman filtering, image processing, tracking
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
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|
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[CrossRef] [SCOPUS Times Cited 13]
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Web of Science® Citations for all references: 4,271 TCR
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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