Journal ArticleDOI
Robust Video Surveillance for Fall Detection Based on Human Shape Deformation
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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
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Journal ArticleDOI
A Review on Recent Developments on Detection of Fall
TL;DR: In this article , the authors present an in-depth analysis of the latest published research on vision-based detection of falls and present the merits, demerits, and challenges of the previous works of visionbased fall detection, and also summarize the future scope of the research.
Proceedings ArticleDOI
Using smart devices for fall detection: algorithms, systems and applications
TL;DR: This is an overview paper that investigates the main components of a fall detection system implemented in the current literature and presents a test Android application for sensor data collection with the purpose of further implementing and testing fall detection algorithms.
Posted Content
An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls
Yan Zhang,Heiko Neumann +1 more
TL;DR: Wang et al. as discussed by the authors performed a systematical empirical study, attempting to investigate the underlying fall recognition process, and obtained quantitative and qualitative results reveal the patterns that the nets tend to learn, and several factors that can heavily influence the performances on fall recognition.
Journal ArticleDOI
Effective Falls Detection Method Using Two Tri-Axial Accelerometers
Gye Rok Jeon,Young Jae Kim,Ah Young Jeon,Sang Hoon Lee,Jae Hyung Kim,Min Seok Kim,Seong Ho Lee,Ji Hyun Kim +7 more
TL;DR: An accurate fall detection system was implemented using two tri-axial accelerometers that can effectively differentiate between falls and non-fall events.
References
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Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI
The Hungarian method for the assignment problem
TL;DR: This paper has always been one of my favorite children, combining as it does elements of the duality of linear programming and combinatorial tools from graph theory, and it may be of some interest to tell the story of its origin this article.
Journal ArticleDOI
Shape matching and object recognition using shape contexts
TL;DR: This paper presents work on computing shape models that are computationally fast and invariant basic transformations like translation, scaling and rotation, and proposes shape detection using a feature called shape context, which is descriptive of the shape of the object.
Journal ArticleDOI
A Survey of Outlier Detection Methodologies
Victoria J. Hodge,Jim Austin +1 more
TL;DR: A survey of contemporary techniques for outlier detection is introduced and their respective motivations are identified and distinguish their advantages and disadvantages in a comparative review.
The Hungarian Method for the Assignment Problem.
TL;DR: This paper has always been one of my favorite “children,” combining as it does elements of the duality of linear programming and combinatorial tools from graph theory.
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