Romanian Journal of Information Science and Technology (ROMJIST)

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ROMJIST is a publication of Romanian Academy,
Section for Information Science and Technology

Editor – in – Chief:
Academician Dan Dascalu

Secretariate (office):
Adriana Neagu
Adress for correspondence: romjist@nano-link.net (after 1st of January, 2019)

Editing of the printed version: Mihaela Marian (Publishing House of the Romanian Academy, Bucharest)

Technical editor
of the on-line version:
Lucian Milea (University POLITEHNICA of Bucharest)

Sponsors:
• National Institute for R & D
in Microtechnologies
(IMT Bucharest), www.imt.ro
• Association for Generic
and Industrial Technologies (ASTEGI), www.astegi.ro

ROMJIST Volume 23, No. 1, 2020, pp. 69-83, Paper no. 638/2020
 

Thathupara Subramanyan KAVYA, Young-Min JANG, Erdenetuya TSOGTBAATAR and Sang-Bock CHO
Fall Detection System for Elderly People using Vision-Based Analysis

ABSTRACT: Fall is one the major cause of death for older people. Detecting the fall plays a major role in saving lives. There are three different types of fall detection commonly used, such as wearable, ambient sensor and vision-based methods. This paper presents a real-time vision- based fall detection system to support the elderly people through analyzing the rate of change of motion with respect to the ground point. The aim of our work is to provide an efficient method to detect fall, without wearing any physical devices. The proposed method is a combination of ground point estimation based on texture segmentation using Gabor filter and calculates the rate of change of angle. A person’s movement is tracked by using a Kalman filter and calculates the angle between the tracked points with respect to a ground point. For experimental analysis, we used two public datasets and analyzed parameters.

KEYWORDS: Fall detection, Kalman Filter, Gabor Filter Segmentation, Image Processing

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