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Gait Recognition from Markerless 3D Motion Capture

2019 International Conference on Biometrics (ICB), 2019
State of the art gait recognition methods often make use of the shape of the body as well as its movement, as observed in the use of Gait Energy Images(GEIs), for recognition. However, it is desirable to have a method that works exclusively with the movement of the body, as clothing and other factors may interfere with the biometric signature from body
James Rainey   +2 more
openaire   +1 more source

Markerless motion capture using appearance and inertial data

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Current monitoring techniques for biomechanical analysis typically capture a snapshot of the state of the subject due to challenges associated with long-term monitoring. Continuous long-term capture of biomechanics can be used to assess performance in the workplace and rehabilitation at home.
Charence Wong   +3 more
openaire   +2 more sources

Unsynchronized markerless motion capture with sharp illumination changes

2010 IEEE International Conference on Image Processing, 2010
Human motion capture typically requires synchronization hardware and specialized cameras, which makes the system expensive and technically complex. Instead, in this paper, we propose a novel approach for markerless motion capture with multiple unsynchronized cameras.
Jia Li   +3 more
openaire   +1 more source

Markerless Motion Capture using Multiple Cameras

Computer Vision for Interactive and Intelligent Environment (CVIIE'05), 2006
Motion capture has important applications in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods use passive markers that are attached to different body parts of the subject and are therefore intrusive in nature.
A. Sundaresan, R. Chellappa
openaire   +1 more source

Aerial Markerless Motion Capture

Human motion capture (mocap) is important for several applications such as healthcare, sports, animation etc. Existing markerless mocap methods employ multiple static and calibrated RGB cameras to infer the subject’s pose. These methods are not suitable for outdoor and unstructured scenarios. They need an extra calibration step before the mocap session
openaire   +4 more sources

Markerless Motion Capture Integrated with Human Modeling for Virtual Ergonomics

2013
This paper refers to the context of virtual ergonomics and specifically addresses a case study of the commercial refrigeration industry. The aim is to develop a computer-aided platform to analyse end-users' postures and movements and ergonomically validate the design of device a man or woman may deal with.
Giorgio Colombo 0002   +2 more
openaire   +2 more sources

Concurrent assessment of gait kinematics using marker-based and markerless motion capture

Journal of Biomechanics, 2021
Elise Laende   +2 more
exaly  

Markerless Motion Capture for Biomechanical Applications

2008
Lars Mündermann   +2 more
openaire   +1 more source

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