Physically Based Skeleton Tracking (Unknown language)

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Skeleton tracking has multiple applications such as games, virtual reality, motion capture and more. One of the main challenges of pose detection is to be able to obtain the best possible quality with a cheap and easy-to-use device. In this work we propose a physically based method to detect errors and tracking issues which appear when we use low cost tracking devices such as Kinect. Therefore, we can correct the animation in order to obtain a smoother movement. We have implemented the Newton- Euler Algorithm, which allow us to compute the internal forces involved in a skeleton. In a common movement, forces are usually smooth without sudden variations. When the tracking yields poor results or invalid poses the internal forces become very large with a lot of variation. This allow us to detect when the tracking system fails and the animation needs to be inferred through different methods.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
An Improved Parallel Technique for Neighbour Search on CUDA
Perea, Juan J. / Cordero, Juan M. | 2017
11
Dissipation Potentials for Yarn-Level Cloth
Sánchez-Banderas, Rosa M. / Otaduy, Miguel A. | 2017
19
Physically Based Skeleton Tracking
López-Gandía, Axel / Susín, Antonio | 2017
23
Extending Industrial Digital Twins with Optical Object Tracking
Tammaro, Antonio / Segura, Álvaro / Moreno, Aitor / Sánchez, Jairo R. | 2017
27
Unsupervised Framework for People Counting Using a Stereo-based Camera
Negrillo, José / Feito, Francisco R. / Segura, Rafael J. / Ogayar, Carlos Javier / Fuertes, José Manuel / Lucena, Manuel | 2017
31
Google Tango Outdoors. Augmented Reality for Underground Infrastructures
Soria, Gregorio / Ortega, Lidia / Feito, Francisco R. | 2017
41
Direct Volume Rendering of Stack-Based Terrains
Graciano, Alejandro / Rueda, Antonio J. / Feito, Francisco R. | 2017
51
Downsampling and Storage of Pre-Computed Gradients for Volume Rendering
Díaz-García, Jesús / Brunet, Pere / Navazo, Isabel / Vázquez, Pere-Pau | 2017
61
3D GIS Based on WebGL for the Management of Underground Utilities
Jurado, Juan Manuel / Ortega, Lidia / Feito, Francisco R. | 2017
65
Fireman Rescue: A Serious Game for Fire Fighting Training
Ríos, Alejandro / Bonet, Carles / Morales, J. L. / Alavedra, Axel / París, Alejandro / Guillén, Marc | 2017
69
A Curvature-based Method for Identifying the Contact Zone Between Bone Fragments: First Steps
Jiménez-Pérez, J. Roberto / Paulano-Godino, Félix / Jiménez-Delgado, Juan J. | 2017
73
An Interactive Tool for Modeling Ancient Masonry Buildings
Fita, Josep Lluis / Besuievsky, Gonzalo / Patow, Gustavo | 2017
77
Transfer Learning for Illustration Classification
Lagunas, Manuel / Garces, Elena | 2017
87
Fast Stippling based on Weighted Centroidal Voronoi Diagrams
Gómez, Eila / Méndez, Elías / Arroyo, Germán / Martín, Domingo | 2017
97
Improved Intuitive Appearance Editing based on Soft PCA
Malpica, Sandra / Barrio, Miguel / Gutierrez, Diego / Serrano, Ana / Masia, Belen | 2017
107
Transient Photon Beams
Marco, Julio / Jarosz, Wojciech / Gutierrez, Diego / Jarabo, Adrian | 2017
113
Procedural Semantic Cities
Rogla, Otger / Pelechano, Nuria / Patow, Gustavo | 2017
121
Tree Variations
Argudo, Oscar / Andújar, Carlos / Chica, Antoni | 2017
131
Procedural Generation of Natural Environments with Restrictions
Gasch, Cristina / Chover, Miguel / Remolar, Inmaculada | 2017
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