Journal ArticleDOI
Robust Video Surveillance for Fall Detection Based on Human Shape Deformation
Reads0
Chats0
TLDR
A new method is proposed to detect falls by analyzing human shape deformation during a video sequence, which gives very good results (as low as 0% error with a multi-camera setup) compared with other common image processing methods.Abstract:
Faced with the growing population of seniors, developed countries need to establish new healthcare systems to ensure the safety of elderly people at home. Computer vision provides a promising solution to analyze personal behavior and detect certain unusual events such as falls. In this paper, a new method is proposed to detect falls by analyzing human shape deformation during a video sequence. A shape matching technique is used to track the person's silhouette along the video sequence. The shape deformation is then quantified from these silhouettes based on shape analysis methods. Finally, falls are detected from normal activities using a Gaussian mixture model. This paper has been conducted on a realistic data set of daily activities and simulated falls, and gives very good results (as low as 0% error with a multi-camera setup) compared with other common image processing methods.read more
Citations
More filters
Journal ArticleDOI
A survey on fall detection: Principles and approaches
TL;DR: A comprehensive survey of different systems for fall detection and their underlying algorithms is given, divided into three main categories: wearable device based, ambience device based and vision based.
Journal ArticleDOI
Challenges, issues and trends in fall detection systems
TL;DR: An extensive literature review of fall detection systems is presented, including comparisons among various kinds of studies, to serve as a reference for both clinicians and biomedical engineers planning or conducting field investigations.
Journal ArticleDOI
Fall Detection in Homes of Older Adults Using the Microsoft Kinect
Erik E. Stone,Marjorie Skubic +1 more
TL;DR: A method for detecting falls in the homes of older adults using the Microsoft Kinect and a two-stage fall detection system is presented and is compared against five state-of-the-art fall detection algorithms and significantly better results are achieved.
Journal ArticleDOI
Depth-based human fall detection via shape features and improved extreme learning machine
TL;DR: An automated fall detection approach that requires only a low-cost depth camera and a variable-length particle swarm optimization algorithm to optimize the number of hidden neurons, corresponding input weights, and biases of ELM is presented.
Journal ArticleDOI
An enhanced fall detection system for elderly person monitoring using consumer home networks
TL;DR: An enhanced fall detection system is proposed for elderly person monitoring that is based on smart sensors worn on the body and operating through consumer home networks that can achieve a high detection accuracy and a low false positive rate.
References
More filters
Journal ArticleDOI
A smart sensor to detect the falls of the elderly
Andrew Sixsmith,Neil Johnson +1 more
TL;DR: An intelligent fall detector based on a low-cost array of infrared detectors that could significantly enhance the functionality and effectiveness of existing monitoring systems and community alarm systems is developed.
Book ChapterDOI
Estimating Human Body Configurations Using Shape Context Matching
Greg Mori,Jitendra Malik +1 more
TL;DR: The problem is to take a single two-dimensional image containing a human body, locate the joint positions, and use these to estimate the body configuration and pose in three-dimensional space.
Proceedings ArticleDOI
A Smart and Passive Floor-Vibration Based Fall Detector for Elderly
Majd Alwan,Prabhu Jude Rajendran,S. Kell,David C. Mack,Siddharth Dalal,M. Wolfe,Robin A. Felder +6 more
TL;DR: The working principle and the design of a floor vibration-based fall detector that is completely passive and unobtrusive to the resident is described and the results showed 100% fall detection rate with minimum potential for false alarms.
Proceedings ArticleDOI
Fall Detection from Human Shape and Motion History Using Video Surveillance
TL;DR: A new method to detect falls, which are one of the greatest risk for seniors living alone, is proposed, based on a combination of motion history and human shape variation.
Journal ArticleDOI
Automatic gait recognition based on statistical shape analysis
TL;DR: This paper proposes a simple and efficient automatic gait recognition algorithm using statistical shape analysis that implicitly uses the action of walking to capture the structural characteristics of gait, especially the shape cues of body biometrics.
Related Papers (5)
Challenges, issues and trends in fall detection systems
Fall Detection in Homes of Older Adults Using the Microsoft Kinect
Erik E. Stone,Marjorie Skubic +1 more