Proceedings ArticleDOI
Automated unusual event detection in video surveillance
Madhav Chamle,K. G. Gunale,Krishna K. Warhade +2 more
- pp 1-4
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TLDR
This work presents an automatic approach for detecting and recognizing falls of elderly people in the home environments using video based technology, with a focus on the protection and assistance to the elderly people.Abstract:
Fall is an unusual activity and it is a serious problem among the elderly people. In the proposed system, we present an automatic approach for detecting and recognizing falls of elderly people in the home environments using video based technology. The focus is on the protection and assistance to the elderly people. Fall causes a very high risk of the elderly's life that may cause death. The fall incident is automatically extracted from the video data represents itself, unique information that can be used to alert emergency or to make a decision whether the fall is confirmed. The main motivation of this work is to provide such a system which automatically detects the fall and intimate the respective authority. Proposed method uses background subtraction to detect the moving object and mark those objects with a rectangular and elliptical bounding box followed by extracting the features like aspect ratio, fall angle, silhouette height. In the proposed system, an Adaboost classifier to classify the normal and fall event is used. The system is implemented using OpenCV libraries and Python. The accuracy of the proposed system on Le2i dataset is 79.31%.read more
Citations
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Journal ArticleDOI
Human Fall Detection in Surveillance Videos Using Fall Motion Vector Modeling
TL;DR: Using fall motion vector, this work is able to efficiently identify fall events in varieties of scenarios, such as the narrow angle camera (Le2i dataset), wide angles camera (URFall dataset), and multiple cameras (Montreal dataset).
Journal ArticleDOI
Fall Detection Based on Dual-Channel Feature Integration
TL;DR: This paper presents a novel visual-based fall detection approach by Dual-Channel Feature Integration that divides the fall event into two parts: falling-state and fallen-state, which describes the fall events from dynamic and static perspectives.
Journal ArticleDOI
Fall Detection for Elderly People Using the Variation of Key Points of Human Skeleton
TL;DR: A spatiotemporal method to detect fall form videos filmed by surveillance cameras is presented and it is found that SVM is the best classifier to the method.
Proceedings ArticleDOI
Fall detection using Gaussian mixture model and principle component analysis
TL;DR: The proposed method extracts six postures of physically movements of human including lying, sitting, standing, getting up, walking, and falling from a video camera using a mixture of Gaussian model combined with average filter models.
Proceedings ArticleDOI
Improvement of fall detection using consecutive-frame voting
TL;DR: Improvement of Fall Detection Using Consecutive-frame Voting using a mixture of Gaussian models (MoG) combined with average filter model to implement the subtraction results and results show improvement of the accuracy.
References
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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.
Proceedings ArticleDOI
Fall detection - Principles and Methods
Norbert Noury,Anthony Fleury,Pierre Rumeau,Alan K. Bourke,Gearóid Ó Laighin,Vincent Rialle,Jean-Eric Lundy +6 more
TL;DR: The difficulty to compare the performances of the different systems due to the lack of a common framework is pointed out and a procedure for this evaluation is proposed.
Journal ArticleDOI
Robust Video Surveillance for Fall Detection Based on Human Shape Deformation
TL;DR: 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.
Journal ArticleDOI
Assistive technology in elderly care
TL;DR: Video-monitoring, remote health monitoring, electronic sensors and equipment such as fall detectors, door monitors, bed alerts, pressure mats and smoke and heat alarms can improve older people's safety, security and ability to cope at home.
Proceedings ArticleDOI
Fast 2D Hand Tracking with Flocks of Features and Multi-Cue Integration
Mathias Kölsch,Matthew Turk +1 more
TL;DR: This paper introduces "Flocks of Features," a fast tracking method for non-rigid and highly articulated objects such as hands that combines KLT features and a learned foreground color distribution to facilitate 2D position tracking from a monocular view.