Open AccessReduction of False Alarm Signals for PIR Sensor in Realistic Outdoor Surveillance
Author(s) -
Hong Sang Gi,
Kim Nae Soo,
Kim Whan Woo
Publication year - 2013
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.13.0112.0219
Subject(s) - false alarm , alarm , real time computing , computer science , window (computing) , energy (signal processing) , constant false alarm rate , trustworthiness , artificial intelligence , engineering , computer security , statistics , mathematics , aerospace engineering , operating system
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.