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Realistic 3D simulation of multiple human recognition over Perception Sensor Network | IEEE Conference Publication | IEEE Xplore

Realistic 3D simulation of multiple human recognition over Perception Sensor Network


Abstract:

In this paper, we introduce a simulation approach for emulating a real-world human recognition system called a Perception Sensor Network (PSN). The proposed PSN system ha...Show More

Abstract:

In this paper, we introduce a simulation approach for emulating a real-world human recognition system called a Perception Sensor Network (PSN). The proposed PSN system has fusion components for automatic localization and facial recognition that uses multiple Kinect sensors and pan-tilt-zoom (PTZ) cameras. We verified that the generic vision schemes utilized in human detection and facial recognition algorithms were interoperable in a scenario that consisted of virtual avatar humans. In experiments, we tested a perception scenario in which multiple humans in a 3D simulation space are automatically recognized in both location and identification with real-world system parameters.
Date of Conference: 25-29 August 2014
Date Added to IEEE Xplore: 20 October 2014
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Conference Location: Edinburgh, UK

References

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