2018
DOI: 10.1186/s40798-018-0139-y
|View full text |Cite
|
Sign up to set email alerts
|

A Review of the Evolution of Vision-Based Motion Analysis and the Integration of Advanced Computer Vision Methods Towards Developing a Markerless System

Abstract: BackgroundThe study of human movement within sports biomechanics and rehabilitation settings has made considerable progress over recent decades. However, developing a motion analysis system that collects accurate kinematic data in a timely, unobtrusive and externally valid manner remains an open challenge.Main bodyThis narrative review considers the evolution of methods for extracting kinematic information from images, observing how technology has progressed from laborious manual approaches to optoelectronic m… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
298
0
3

Year Published

2019
2019
2024
2024

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 392 publications
(303 citation statements)
references
References 111 publications
(124 reference statements)
2
298
0
3
Order By: Relevance
“…Brockerhoff et al, 1995;Mirat et al, 2013). Machine learning and other frontiers in image processing offer opportunities for the development of sophisticated software for automating kinematic measurements (Colyer et al, 2018;Robie et al, 2017). However, a more direct and robust approach to automation may be obtained from video recordings of subjects that are illuminated with high contrast.…”
Section: Resultsmentioning
confidence: 99%
“…Brockerhoff et al, 1995;Mirat et al, 2013). Machine learning and other frontiers in image processing offer opportunities for the development of sophisticated software for automating kinematic measurements (Colyer et al, 2018;Robie et al, 2017). However, a more direct and robust approach to automation may be obtained from video recordings of subjects that are illuminated with high contrast.…”
Section: Resultsmentioning
confidence: 99%
“…Recent developments in movement analysis use markerless silhouette technology to create a 3D image of a body from twodimensional (2D) video recordings (e.g. Simi Reality Motion Systems, Germany; Microsoft Kinect V2, USA) [5]. The silhouette of the body is captured by several calibrated conventional video cameras from different angles (▶ Fig.…”
Section: Silhouette Trackingmentioning
confidence: 99%
“…6 a). A calculation model creates a 3D point cloud or a raster model from the 2D data of the cameras, which describe colours, as well as brightness or the distance of a point ("depth map") [5]. This whole-body model is divided into rigid segments with articulated connections (as in MBS).…”
Section: Silhouette Trackingmentioning
confidence: 99%
See 1 more Smart Citation
“…3-D motion capture plays an important role in sports to analyze physical limitations and for movement optimization [11]. Through the analyses, details about injury mechanism and movement will lead to new preventive methods and be used to improve a player's technique and performance [12].…”
Section: Introductionmentioning
confidence: 99%