Realistic 3D Simulation of Multiple Human recognition over Perception Sensor Network

Title
Realistic 3D Simulation of Multiple Human recognition over Perception Sensor Network
Authors
박지관안기진최종석
Issue Date
2014-08
Publisher
IEEE RO-MAN 2014
Citation
, 507-512
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.
URI
http://pubs.kist.re.kr/handle/201004/49047
Appears in Collections:
KIST Publication > Conference Paper
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