NDLI: Real-Time Active Tampering Detection of Surveillance Camera and Implementation on Digital Signal Processor

Content Provider	IEEE Xplore Digital Library
Author	Daw-Tung Lin Chung-Han Wu
Copyright Year	2012
Abstract	Active and automatic camera tampering detection is more and more important, especially for wide area surveillance systems with large amount of video cameras installed. Generally, a camera functions for video recording and lacks the ability to detect whether tampering has occurred. Most tampering solutions are passive, as evidenced by many surveillance systems frequently left unattended. Tampering detection of real-time automated cameras is thus of priority concern important for timely operator warning. This work describes a novel algorithm for camera tamper detection scheme. Developed for video surveillance and security applications, the pro-posed approach identifies camera tampering by detecting large edge differences and grayscale histogram comparisons between current and previous frames. The optimized algorithm is implemented on PC and TI DAVINCI DM6437 DSP as well. Extensive experiments were performed. Experimental results indicate that the proposed approach can detect various tampering cases. The overall recognition performance was 94%.
Starting Page	383
Ending Page	386
File Size	403004
Page Count	4
File Format	PDF
ISBN	9781467317412
DOI	10.1109/IIH-MSP.2012.99
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-18
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Histograms Image edge detection Surveillance camera defocusing Digital signal processing Camera tampering detection Cameras camera occlusion camera motion video surveillance Optimization
Content Type	Text
Resource Type	Article

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