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Markerless motion capture based on diffusion geometry and silhouettes
Journal of Electronic Imaging, 2015Markerless human motion capture has a wide variety of applications, but recovering a pose from multiple-view calibrated images remains challenging. In general, the problem of pose estimation is an optimization problem, but cost functions easily trapped in a local minimum based on extrinsic similarities (silhouette, edge, etc.) and pose estimation fail ...
Qinghua Liang, Zhenjiang Miao
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Gait Recognition from Markerless 3D Motion Capture
2019 International Conference on Biometrics (ICB), 2019State 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
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Markerless motion capture using a single depth sensor
ACM SIGGRAPH ASIA 2009 Sketches, 2009We present a robust framework for tracking skeleton joints in real-time by using a single time-of-flight depth sensor. The framework is able to remove the background noise inherent in time-of-flight cameras, detect multiple people, and track up to 30 joints of free motion for each person.
Amit Bleiweiss +2 more
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Markerless motion capture using appearance and inertial data
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014Current 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
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Unsynchronized markerless motion capture with sharp illumination changes
2010 IEEE International Conference on Image Processing, 2010Human 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
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Markerless Motion Capture using Multiple Cameras
Computer Vision for Interactive and Intelligent Environment (CVIIE'05), 2006Motion 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
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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 sessionopenaire +4 more sources
Markerless Motion Capture Integrated with Human Modeling for Virtual Ergonomics
2013This 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
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Concurrent assessment of gait kinematics using marker-based and markerless motion capture
Journal of Biomechanics, 2021Elise K Laende +2 more
exaly
Markerless Motion Capture for Biomechanical Applications
2008Lars Mündermann +2 more
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