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Human Fall Detection Using Machine Learning Methods: A Survey
2019
International journal of mathematical, engineering and management sciences
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In this paper, we discuss different machine learning models designed to detect human fall using these techniques. ...
A human fall detection system can be designed using one of these technologies: wearable based device, context-aware based and vision based methods. ...
Acknowledgement The authors express their gratitude to the reviewers for their valuable suggestions towards the improvement in the quality of the paper. ...
doi:10.33889/ijmems.2020.5.1.014
fatcat:aj6vu47yvnbcxo7aem524e5kia
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild
[article]
2020
arXiv
pre-print
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In particular, we introduce a scale loss that learns the distribution of object size from data; an occlusion-aware silhouette re-projection loss to optimize object pose; and a human-object interaction ...
We present a method that infers spatial arrangements and shapes of humans and objects in a globally consistent 3D scene, all from a single image in-the-wild captured in an uncontrolled environment. ...
This work was funded in part by the CMU Argo AI Center for Autonomous Vehicle Research. ...
arXiv:2007.15649v2
fatcat:yccc5eaccncava3knmyw5dyzbe
Silhouettes from Real Objects Enable Realistic Interactions with a Virtual Human in Mobile Augmented Reality
2021
Applied Sciences
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We also conducted a pilot study using our approach and reported significant improvements in user perception of spatial awareness and presence for realistic interactions with a virtual human. ...
Our proposed method uses the dynamic silhouette of a real object to enable realistic interactions. ...
Acknowledgments: We express sincere gratitude to the participants in the experiments. We also thank the reviewers for their valuable contributions. ...
doi:10.3390/app11062763
fatcat:lj3c6jtnx5fdzox6nlpovhzjai
EagleSense
2017
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI '17
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To facilitate the prototyping of ubiquitous computing applications for interactive spaces, we developed EagleSense, a real-time human posture and activity recognition system with a single top-view depthsensing ...
novel algorithm and processing pipeline, including details for calculating silhouetteextremities features and applying gradient tree boosting classifiers for activity recognition optimized for top-view depth ...
Human detection and tracking HCI researchers used real-time human pose estimation (localization of skeleton joints) from single depth images [45] via commodity depth sensors such as the Microsoft Kinect ...
doi:10.1145/3025453.3025562
dblp:conf/chi/WuHM17
fatcat:dydjs5d6g5cvdc4clugbib34ou
A survey on vision-based fall detection
2015
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '15
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This article is a survey of systems and algorithms which aim at automatically detecting cases where a human falls and may have been injured. ...
To improve the quality of living for seniors, a wide range of monitoring systems with fall detection functionality have been proposed over recent years. ...
[22] use human motion analysis and human silhouette shape variations to detect slip-only and fall events. ...
doi:10.1145/2769493.2769540
dblp:conf/petra/ZhangCA15
fatcat:f3gjqvybojalla7igfa2tvz4yy
Mobile human-robot teaming with environmental tolerance
2009
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction - HRI '09
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We posit that the use of recent emerging devices for depth-based imaging can enable robot perception of non-verbal cues in human movement in the face of lighting and minor terrain variations. ...
We demonstrate that structured light-based depth sensing with standard perception algorithms can enable mobile peerto-peer interaction between humans and robots. ...
Human Detection and Following In order to detect humans in varying environments, we require algorithms to interpret the depth data obtained by our active lighting system. ...
doi:10.1145/1514095.1514124
dblp:conf/hri/LoperKCJJ09
fatcat:2ncqjous2rgpln7ym52rw4vnta
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models
2022
ACM Computing Surveys
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There are several review studies addressing person identification such as the utilization of facial images, silhouette images, and wearable sensor. ...
possible contributions in the future. ...
The authors are not aware of any current attempts towards implementing gait identification using 3D HPE. ...
doi:10.1145/3533384
fatcat:j6g7wayx4fhkvck3nlsxz5xudi
Body Size Judgments at 17 ms: Evidence From Perceptual and Attitudinal Body Image Indexes
2020
Frontiers in Psychology
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Such evidence signals that conscious body image can be associated to implicit detection of visual human body stimuli. ...
In the second experiment participants had to respond in a seven-point Likert scale if the presented image of body silhouettes were bigger, equal or thinner than their own bodies. ...
Such evidence signals that conscious body image can be associated to implicit detection of visual human body stimuli. ...
doi:10.3389/fpsyg.2019.03018
pmid:32010033
pmcid:PMC6978682
fatcat:7ftgnmywqzcljn2ovrwfw52g2m
A survey of imagery techniques for semantic labeling of human-vehicle interactions in persistent surveillance systems
2011
Signal Processing, Sensor Fusion, and Target Recognition XX
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processing techniques for spatiotemporal characterization and tracking of human target in urban environments. ...
Various Persistent Surveillance System (PSS) imagery techniques have been proposed in the past for identifying human interactions with various objects in the environment. ...
In contrary, outdoor scene images often have wide range of depth, and size of human blob and his/her interacting objects can be very small. ...
doi:10.1117/12.887019
fatcat:nsxr5vr76jbjbppmctkxs6x2pq
Robust Model-Based 3D Torso Pose Estimation in RGB-D Sequences
2013
2013 IEEE International Conference on Computer Vision Workshops
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The detected face of the user steers the initiation of shoulder areas hypotheses, based on illumination, scale and pose invariant features on the RGB silhouette. ...
In this context, the extraction of human-body pose information is of utmost importance. ...
Based on face detection and tracking, the human body silhouette is extracted for the detected users in the scene. • Shoulder joint approximation. ...
doi:10.1109/iccvw.2013.49
dblp:conf/iccvw/SigalasPOT13
fatcat:k5kfd2746ff77pidka36ens76i
Efficient multi-view ray tracing using edge detection and shader reuse
2011
The Visual Computer
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We introduce multiview silhouette edges to detect sharp geometrical discontinuities in the radiance function. These are used to significantly improve the quality of the reconstruction. ...
We present a specialized algorithm for efficient multi-view image generation from a camera line using ray tracing, which builds on previous methods for multi-dimensional adaptive sampling and reconstruction ...
In combination with sampling of L using adaptive forward rays, as described in MDAS, we also analytically detect geometric silhouette edges by tracing a triangle backwards from an intersection point towards ...
doi:10.1007/s00371-011-0560-4
fatcat:j33bs4ihevhdtib6oklj2s2twm
PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction
[article]
2020
arXiv
pre-print
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2020 pre-print arXiv:2007.03858v1 fatcat:vglobhqpeba27jjrq4ailjyfca
Experimental results demonstrate that our method achieves state-of-the-art performance for image-based 3D human reconstruction in the cases of challenging poses and clothing types. ...
Moreover, a novel depth-ambiguity-aware training loss is further integrated to resolve depth ambiguities and enable successful surface detail reconstruction with imperfect body reference. ...
As shown in DeepHuman, a SMPL model fitted to the input image can serve as a strong geometry prior, and guarantee pose and shape aware human model reconstructions. ...
arXiv:2007.03858v2
fatcat:evtj2ijtfrasfosn4q5hzcitnu
MoSculp: Interactive Visualization of Shape and Time
[article]
2018
arXiv
pre-print
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To provide this end-to-end workflow, we introduce an algorithm that estimates that human's 3D geometry over time from a set of 2D images and develop a 3D-aware image-based rendering approach that embeds ...
video, render it in a synthetic scene or physically print it. ...
We are grateful to Angjoo Kanazawa for her help in running [51] on the Horse sequence. We thank Kevin Burg for allowing us to use the ballet clips from [10] . ...
arXiv:1809.05491v1
fatcat:2fkf32opvvfgngxe3vm5jqs3v4
A survey of advances in vision-based human motion capture and analysis
2006
Computer Vision and Image Understanding
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Recent research has addressed reliable tracking and pose estimation in natural scenes. Progress has also been made towards automatic understanding of human actions and behavior. ...
This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000 [206]. ...
Temporal context-free Zhao and Thorpe [338] use depth data to extract the silhouettes of individuals in the image. ...
doi:10.1016/j.cviu.2006.08.002
fatcat:7vsbfnczrzgsbdbbmlzvfprh54
Frontal View Gait Recognition with Fusion of Depth Features from a Time of Flight Camera
2018
IEEE Transactions on Information Forensics and Security
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The four-part method includes: a new human silhouette extraction algorithm that reduces the multiple reflection problem experienced by ToF cameras; a frame selection method based on a new gait cycle detection ...
algorithm; four new gait image representations; and a novel fusion classifier. ...
Human Silhouette Extraction The first stage is the extraction of the human silhouette from the depth image (Z-image). ...
doi:10.1109/tifs.2018.2870594
fatcat:cjx4vefikfafnaeca744ksyawi
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