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Sensors 2015, 15(5), 10315-10331; doi:10.3390/s150510315

Unified Camera Tamper Detection Based on Edge and Object Information

1
School of Electronics, Telecommunication & Computer Engineering, Korea Aerospace University, 76 Hanggongdaehak-ro Deogyang-gu, Goyang-si, Gyeonggi-do 412-791, Korea
2
School of Electronic & Electrical Engineering, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 121-791, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 13 March 2015 / Revised: 26 April 2015 / Accepted: 27 April 2015 / Published: 4 May 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [14464 KB, uploaded 4 May 2015]   |  

Abstract

In this paper, a novel camera tamper detection algorithm is proposed to detect three types of tamper attacks: covered, moved and defocused. The edge disappearance rate is defined in order to measure the amount of edge pixels that disappear in the current frame from the background frame while excluding edges in the foreground. Tamper attacks are detected if the difference between the edge disappearance rate and its temporal average is larger than an adaptive threshold reflecting the environmental conditions of the cameras. The performance of the proposed algorithm is evaluated for short video sequences with three types of tamper attacks and for 24-h video sequences without tamper attacks; the algorithm is shown to achieve acceptable levels of detection and false alarm rates for all types of tamper attacks in real environments. View Full-Text
Keywords: camera tamper detection; edge disappearance rate; adaptive threshold; covered event; moved event; defocused event camera tamper detection; edge disappearance rate; adaptive threshold; covered event; moved event; defocused event
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lee, G.-B.; Lee, M.-J.; Lim, J. Unified Camera Tamper Detection Based on Edge and Object Information. Sensors 2015, 15, 10315-10331.

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