intrusiondetection_vision2014

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VIRTUAL 3D SHIELD INTRUSION DETECTION WITHIN A 3D VOLUME GENERAL Intrusion detection techniques (e.g., person-machine collisi- on prevention, off-limits area observation, etc.) are impor- tant monitoring activities that are useful in establishing safe and secure environments. The Virtual 3D Shield is a practical system for detecting volumetric intrusion in a predefined re- stricted area by using depth sensing cameras. Depth-based intrusion detection has the advantage of robustly performing intruder tracking from a distance without any human inter- vention. The system defines a virtual 3D shield around the asset that has to be protected, thus delimiting the protected boundaries in all three dimensions (see Figure 1). One characteristic of this system is the user interface, which is necessary to define the 3D volume to be protected. This feature has been implemented with a graphical tool, enab- ling the user to create a shape (i.e. a “virtual cage”) in the 3D space detected by the sensors, and to adapt the virtual cage by changing its size and position (see Figure 2). ADVANTAGES Position of the virtual shield: user definable Ground plane calibration: automatic Variable configuration: 2 or 3 different types of depth sensors Figure 1: Volumetric indoor asset monitoring, e.g. protection of museum exhibits (left) or monitoring of private property assets (right) Figure 2: Safety zone marked by a red rectangle (left); Virtual 3D shield in the shape of a sphere surrounding the object to be protected (right).

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Page 1: IntrusionDetection_Vision2014

VIRTUAL 3D SHIELD INTRUSION DETECTION WITHIN A 3D VOLUME

GENERAL

Intrusion detection techniques (e.g., person-machine collisi-on prevention, off-limits area observation, etc.) are impor-tant monitoring activities that are useful in establishing safe and secure environments. The Virtual 3D Shield is a practical system for detecting volumetric intrusion in a predefined re-stricted area by using depth sensing cameras. Depth-based intrusion detection has the advantage of robustly performing intruder tracking from a distance without any human inter-vention. The system defines a virtual 3D shield around the asset that has to be protected, thus delimiting the protected boundaries in all three dimensions (see Figure 1).

One characteristic of this system is the user interface, which is necessary to define the 3D volume to be protected. This feature has been implemented with a graphical tool, enab-ling the user to create a shape (i.e. a “virtual cage”) in the 3D space detected by the sensors, and to adapt the virtual cage by changing its size and position (see Figure 2).

ADVANTAGES

Position of the virtual shield: user definable

Ground plane calibration: automatic

Variable confi guration: 2 or 3 diff erent types of depth sensors

Figure 1: Volumetric indoor asset monitoring, e.g. protection of museum exhibits (left) or monitoring of private property assets (right)

Figure 2: Safety zone marked by a red rectangle (left); Virtual 3D shield in the shape of a sphere surrounding the object to be protected (right).

Page 2: IntrusionDetection_Vision2014

SPECIFICATIONS

Different types of depth sensors: passive stereo, active IR / ToF cameras.

Detection rate: 4 - 10 times/sec for passive stereo; 15 - 20 times/sec for active cameras.

Surveyed volume:

- Small, medium, big rooms (10 – 100m2).

- Maximum distance between sensor and object: 10m.

Object size:

- Asset size: any (indoor).

- Minimum object size: >= 10x10x10 cm3 at 5m distance between virtual 3D screen and sensor.

CONTROL AND DISPLAY SOFTWARE

Operating system: Windows 7

Software functions:

- 3D point cloud display;

- Graphical tool for placing and adjusting the size of the virtual 3D shield;

- Alarm generation if an object penetrates the 3D limited shape.

ACKNOWLEDGEMENT

Part of the research leading to these results has received funding from the European Union Seventh Framework Programme

managed by REA (Research Executive Agency) (FP7/2007-2013) under grant agreement no. FP7-SME-2012 – DSenS (http://d-

sens.eu/). Companies RDnet (http://www.rdnet.fi/) and XTrust (http://www.xtrust.net/) are gratefully acknowledged for their

technical support.

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: AIT

VIRTUAL 3D SHIELD INTRUSION DETECTION WITHIN A 3D VOLUME

CONTACT

AIT Austrian Institute of Technology

Safety & Security Department

Donau-City-Straße 1

1220 Vienna

DI DR. DANIEL MOLDOVAN

Research Fellow

Phone: +43 664 8839 0622

Mobile: +43 699 1711 9842

E-mail: [email protected]

Web: www.ait.ac.at/safety_security

DI DR. MANFRED GRUBER

Head of Business Unit Safe and Autonomous Systems

Phone: +43 50550 4183

Fax: +43 50550 4150

E-mail: [email protected]

Web: www.ait.ac.at/safety_security