A Human Shape-Motion Predictor with Deep Learning

Romero Mérida, Antonio

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Romero Mérida, Antonio

Tutor / directorAlquézar Mancho, René

; Moreno-Noguer, Francesc

Document typeMaster thesis

Date2019-04-24

Rights accessOpen Access

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

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

SubjectsNeural networks (Computer science), Machine learning, Xarxes neuronals (Informàtica), Aprenentatge automàtic

DegreeMÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2017)

URIhttp://hdl.handle.net/2117/133064

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Màsters oficials - Master in Artificial Intelligence - MAI [248]

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