NDLI: Using fuzzy inference method to automatically detect and identify intruders from the security system

Content Provider	IEEE Xplore Digital Library
Author	Yo-Ping Huang Po-Nan Cheng
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Tatung Univ., Taipei, Taiwan (Yo-Ping Huang; Po-Nan Cheng)
Abstract	A home security system is designed to detect the illegal intruders and to warn the homeowner. When a homeowner is about to sleep or leave the house, the security system can be turned on to monitor the house and trigger the alarm if there were illegal intruders. Most security systems send alarm messages to users when the sensors are triggered, but cannot identify what the intruder is. If security systems often make false alarms when triggered by animals, people may relax their vigilance as time passes. To solve those common problems of traditional home security systems, we combine image recognition, motion detection, image processing and fuzzy inference to identify whether the illegal intruder is human, cat or dog. We use a camera to capture the images and analyze those incoming images. After obtaining the foreground object from those incoming images, we can derive its characters and then apply the fuzzy inference model to recognizing the identified object. We design the fuzzy rules to identify whether the object is human or animal. Another advantage in our model is that if we want to add more functions, we can expand the rule base. Experimental results show that the proposed fuzzy model can effectively identify the intruders.
Sponsorship	IEEE Systems, Man and Cybernetics Soc
Starting Page	743
Ending Page	748
File Size	666855
Page Count	6
File Format	PDF
ISBN	0780381939
ISSN	18107869
DOI	10.1109/ICNSC.2004.1297039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-03-21
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Security Animals Image recognition Humans Monitoring Sensor systems Motion detection Image processing Cameras
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in