Results 231 to 240 of about 78,556 (261)

Gait recognition based on marker-less 3D motion capture

2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013
We present an algorithm for view-independent gait-based person identification. The identification is achieved using data obtained by our marker-less 3D motion tracking algorithm. The motion tracking was accomplished by a particle swarm optimization algorithm. The accuracy of the motion tracking algorithm was evaluated using ground-truth data from MoCap.
Tomasz Krzeszowski, Agnieszka Michalczuk, Bogdan Kwolek, Adam Switonski, Henryk Josinski   +4 more
openaire   +1 more source

Illumination-Invariant Robust Multiview 3D Human Motion Capture

2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
In this work we address the problem of capturing human body motion under changing lighting conditions in a multiview setup. In order to account for changing lighting conditions we propose to use an intermediate image representation that is invariant to the scene lighting.
Nadia Robertini, Florian Bernard 0001, Weipeng Xu, Christian Theobalt   +3 more
openaire   +2 more sources

Efficient Query Processing in 3D Motion Capture Gesture Databases

International Journal of Semantic Computing, 2016
One of the most fundamental challenges when accessing gestural patterns in 3D motion capture databases is the definition of spatiotemporal similarity. While distance-based similarity models such as the Gesture Matching Distance on gesture signatures are able to leverage the spatial and temporal characteristics of gestural patterns, their applicability
Christian Beecks, Marwan Hassani, Bela Brenger, Jennifer Hinnell, Daniel Schüller, Irene Mittelberg, Thomas Seidl 0001   +6 more
openaire   +1 more source

Passive 3D human motion capture

ACM SIGGRAPH 97 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '97 on - SIGGRAPH '97, 1997
Ioannis A. Kakadiaris, Dimitris N. Metaxas   +1 more
openaire   +1 more source

The Application of Motion Capture and 3D Skeleton Modeling in Virtual Fighting

2017
With the rapid development of new technology, motion capture technology has been widely used in film and television animation, motion analysis, medical research and game design. Especially in the game design, we not only gain the real-time motion data, but also consider the motion data and three-dimensional model matching.
Xinliang Wei, Xiaolong Wan, Sihui Huang, Wei Sun   +3 more
openaire   +1 more source

Anatomical-Marker-Driven 3D Markerless Human Motion Capture

IEEE Journal of Biomedical and Health Informatics
Marker-based motion capture (mocap) is a conventional method used in biomechanics research to precisely analyze human movement. However, the time-consuming marker placement process and extensive post-processing limit its wider adoption. Therefore, markerless mocap systems that use deep learning to estimate 2D keypoint from images have emerged as a ...
Prayook Jatesiktat, Guan Ming Lim, Wee Sen Lim, Wei Tech Ang   +3 more
openaire   +2 more sources

Joint motion and reflectance capture for relightable 3D video

ACM SIGGRAPH 2005 Sketches on - SIGGRAPH '05, 2005
Christian Theobalt, Naveed Ahmed 0001, Edilson de Aguiar, Gernot Ziegler, Hendrik P. A. Lensch, Marcus A. Magnor, Hans-Peter Seidel   +6 more
openaire   +2 more sources

Markerless 3D Motion Capture of Cheetahs in the Wild

2021
3D motion-capture is essential for research in biomechanics and biomedical engineering. It can provide insight into performance and injury prevention in sport, diagnosis of illnesses and disorders as well as help biologists to study animals and help engineers to design bio-inspired robots.
openaire   +1 more source

Physically plausible 3D human motion capture and synthesis with interactions

Modelling 3D human motion is highly important in numerous applications, including AR/VR, human-robot interaction, gaming, and character animations. To develop such applications, plausible 3D human motions need to be captured from sensing devices or synthesised based on the motion model definition.
openaire   +3 more sources

3D human face analysis for recognition applications and motion capture

Analyse 3D du visage humain pour les demandes de reconnaissance et capture du mouvement Cette thèse se propose comme une étude géométrique de la surface faciale en 3D, dont le but est de fournir un ensemble d'entités, issues du contexte de la géométrie différentielle, à utiliser comme descripteurs faciaux dans les applications d'analyse
openaire   +2 more sources