Gait Analysis of Pedestrians with the Aim of Detecting Disabled People
Gait Analysis of Pedestrians with the Aim of Detecting Disabled People
- Neue Suche nach: Mukhtar, Amir
- Neue Suche nach: Cree, Michael J.
- Neue Suche nach: Scott, Jonathan B.
- Neue Suche nach: Streeter, Lee
Gait classification is an effective and non-intrusive method for human identification and it has received significant attention in the recent years due to its applications in visual surveillance and monitoring systems. We analyse gait signatures using spatio-temporal motion characteristics of a person to answer the question ``is there a discriminating feature in the gait signal that can help to categorise a disabled person from healthy?''. The procedure has three steps: detection of a pedestrian using YOLO followed by the silhouette extraction using the Gaussian Mixture Model (GMM). Finally, skeletonization from the silhouette image to estimate head and torso locations and their angles with the vertical axis. Furthermore, velocity and acceleration signals were recorded to look for accelerating behaviour of person walking with a limp. Manual segmentations shows that the gait signal has information about unusual walking patterns but existing pedestrian detectors lack accuracy in extracting an accurate gait signal due to localization errors.
Dokumentinformationen
Gait Analysis of Pedestrians with the Aim of Detecting Disabled People
Applied Mechanics and Materials ; 884 ; 105-112
2018-08-28
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Gait , Vision , Skeletonize , Disable
Ähnliche Titel
Sight Distance for Disabled Pedestrians at Crossings
| Transportation Research Record | 2013
Physically Disabled Pedestrians—Road Users in Terms of Road Accidents
| Springer Verlag | 2016
Access and Mobility Design Policy for Disabled Pedestrians at Road Crossings
| Transportation Research Record | 2006
Gait analysis and avoidance mechanism of pedestrians under the quantitative control of visibility
| Taylor & Francis Verlag | 2024