Reduction of False Alarm Signals for PIR Sensor in Realistic Outdoor Surveillance

A passive infrared or pyroelectric infrared (PIR) sensor is mainly used to sense the existence of moving objects in an indoor environment. However, in an outdoor environment, there are often outbreaks of false alarms from environmental changes and other sources. Therefore, it is difficult to provide...

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Bibliographic Details
Published in:ETRI journal 2013, 35(1), , pp.80-88
Main Authors: Hong, Sang Gi, Kim, Nae Soo, Kim, Whan Woo
Format: Article
Language:English
Subjects:
alarm duration
false alarm reduction
PIR sensor
target detection
window energy
전자/정보통신공학
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Summary:A passive infrared or pyroelectric infrared (PIR) sensor is mainly used to sense the existence of moving objects in an indoor environment. However, in an outdoor environment, there are often outbreaks of false alarms from environmental changes and other sources. Therefore, it is difficult to provide reliable detection outdoors. In this paper, two algorithms are proposed to reduce false alarms and provide trustworthy quality to surveillance systems. We gather PIR signals outdoors, analyze the collected data, and extract the target features defined as window energy and alarm duration. Using these features, we model target and false alarms, from which we propose two target decision algorithms: window energy detection and alarm duration detection. Simulation results using real PIR signals show the performance of the proposed algorithms.
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.13.0112.0219