Citation

Yap, Boon Leng and Baskaran, Vishnu Monn (2016) Active surveillance using depth sensing technology — Part I: Intrusion detection. In: 2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW). IEEE, pp. 1-2. ISBN 978-1-5090-2073-7

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Abstract

In part I of a three-part series on active surveillance using depth-sensing technology, this paper proposes an algorithm to identify outdoor intrusion activities by monitoring skeletal positions from Microsoft Kinect sensor in real-time. This algorithm implements three techniques to identify a premise intrusion. The first technique observes a boundary line along the wall (or fence) of a surveilled premise for skeletal trespassing detection. The second technique observes the duration of a skeletal object within a region of a surveilled premise for loitering detection. The third technique analyzes the differences in skeletal height to identify wall climbing. Experiment results suggest that the proposed algorithm is able to detect trespassing, loitering and wall climbing at a rate of 70%, 85% and 80% respectively.

Item Type:	Book Section
Uncontrolled Keywords:	Intrusion detection, Video surveillance, Real-time systems, Streaming media, Sensors, Computer architecture
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7871 Electronics--Materials
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	14 Dec 2017 13:35
Last Modified:	14 Dec 2017 13:35
URII:	http://shdl.mmu.edu.my/id/eprint/6642

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