NDLI: Development of a vision based pedestrian fall detection system with back propagation neural network

Content Provider	IEEE Xplore Digital Library
Author	Hsu, Ya-Wen Perng, Jau-Woei Liu, Hui-Li
Copyright Year	2015
Description	Author affiliation: Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan, R. O. C. (Hsu, Ya-Wen; Perng, Jau-Woei) \|\| Department of Medical Sociology and Social Work, Kaohsiung Medical University, Kaohsiung, Taiwan, R. O. C. (Liu, Hui-Li)
Abstract	Statistics have shown that most fall events are associated with identifiable risk factors, such as weakness, unsteady gait, medication use, and the environment. Falls can result in abrasions, broken bones, or even death. A real time fall detection system should be developed, which can trigger an alarm people once a fall event occurs. In this study, the proposed scheme obtains image sequences from an interior camera system. The imaged are first used to build up a model of the background using Gaussian mixture model (GMM) with the extraction of foreground images achieved through subtraction. Morphological operations are then used to repair damage to the image and connected-component labeling is used for elimination of noise. From foreground objects, the aspect ratio of the bounding box, the orientation of the ellipse, and the vertical velocity of the center point are extracted for use as input features in a learning algorithm. Fall detection is based on the classification results of learning algorithm using a back propagation neural network.
Starting Page	433
Ending Page	437
File Size	510952
Page Count	5
File Format	PDF
e-ISBN	9781467372428
DOI	10.1109/SII.2015.7405018
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensitivity Maintenance engineering Feature extraction Cameras Image sequences Labeling Biomedical imaging
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

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