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Markerless motion capture with single and multiple cameras
2004 International Conference on Image Processing, 2004. ICIP '04., 2005The aim of optical motion capture is to sequentially estimate the true state X of the subject (generally an articulated body) at any time instant t/sub k/ from a set of data D/sub k/, captured by N calibrated cameras each of resolution U/spl times/V pixels. Our aim is to achieve this without the need for markers.
Paris Kaimakis, Joan Lasenby
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Markerless 3D facial motion capture system
SPIE Proceedings, 2012We propose a novel markerless 3D facial motion capture system using only one common camera. This system is simple and easy to transfer facial expressions of a user's into virtual world. It has robustly tracking facial feature points associated with head movements. In addition, it estimates high accurate 3D points' locations.
Youngkyoo Hwang +6 more
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Markerless Motion Capture with unsynchronized moving cameras
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009In this work we present an approach for markerless motion capture (MoCap) of articulated objects, which are recorded with multiple unsynchronized moving cameras. Instead of using fixed (and expensive) hardware synchronized cameras, this approach allowsus to track people with off-the-shelf handheld video ca\-me\-ras.
Hasler, N. +5 more
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Markerless human motion capture and pose recognition
2009 10th Workshop on Image Analysis for Multimedia Interactive Services, 2009In this paper, we present an approach to capture markerless human motion and recognize human poses. Different body parts such as the torso and the hands are segmented from the whole body and tracked over time. A 2D model is used for the torso detection and tracking, while a skin color model is utilized for the hands tracking.
Feifei Huo +3 more
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Online Smoothing for Markerless Motion Capture
2007Tracking 3D objects from 2D image data often leads to jittery tracking results. In general, unsmooth motion is a sign of tracking errors, which, in the worst case, can cause the tracker to loose the tracked object. A straightforward remedy is to demand temporal consistency and to smooth the result. This is often done in form of a post-processing.
Bodo Rosenhahn +3 more
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Experimenting with noise in markerless motion capture
Proceedings of the 2nd International Workshop on Movement and Computing, 2015Visual culture has embraced the visual glitch as just one of many aesthetics associated with digital media. A glitch is often associated with noise in a technological system. Some motion capture systems experience noise and glitches as they process human movement.
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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 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 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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