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A Human Shape-Motion Predictor with Deep Learning
| dc.contributor | Alquézar Mancho, René |
| dc.contributor | Moreno-Noguer, Francesc |
| dc.contributor.author | Romero Mérida, Antonio |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
| dc.date.accessioned | 2019-05-16T10:39:10Z |
| dc.date.available | 2019-05-16T10:39:10Z |
| dc.date.issued | 2019-04-24 |
| dc.identifier.uri | http://hdl.handle.net/2117/133064 |
| dc.description.abstract | The objective of this work is to obtain an end-to-end solution which predicts human motion and shape from a given video by extracting its pose in the Wild. Given incomplete human motion sequences our goal is to predict and visualize the following frames of those sequences, with realistic human shape |
| dc.language.iso | eng |
| dc.publisher | Universitat Politècnica de Catalunya |
| dc.subject | Àrees temàtiques de la UPC::Informàtica |
| dc.subject.lcsh | Neural networks (Computer science) |
| dc.subject.lcsh | Machine learning |
| dc.subject.other | Predictor Moviment Humà; Estimació Pose 3D; SMPL Model; Xarxes Neuronals Recurrents; Forma Humà Realista ; Pose; Forma |
| dc.subject.other | Human-Motion Prediction; 3D Pose Estimation; SMPL Model; Recurrent Neural networks; Realistic Human Shape; Pose; Shape |
| dc.title | A Human Shape-Motion Predictor with Deep Learning |
| dc.type | Master thesis |
| dc.subject.lemac | Xarxes neuronals (Informàtica) |
| dc.subject.lemac | Aprenentatge automàtic |
| dc.identifier.slug | 142401 |
| dc.rights.access | Open Access |
| dc.date.updated | 2019-04-26T04:01:18Z |
| dc.audience.educationlevel | Màster |
| dc.audience.mediator | Facultat d'Informàtica de Barcelona |
| dc.audience.degree | MÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2017) |
