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Laboratoire d'InfoRmatique en Image et Systèmes d'information

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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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Fabien Baradel

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PhD student

Team Feature Extraction and Identification
 
Institution Institut National des Sciences Appliquées de Lyon
Location Jules Verne (INSA)
 
E-mail fabien.baradel at liris.cnrs.fr
URL https://fabienbaradel.github.io
Contact details Publications Thesis
 
Subject Deep learning for human understanding: poses, gestures, activities
Abstract Human understanding in video contents in a relevant topic for many industrial fields such as robotics, video-surveillance, etc… Currently many applications are able to extract powerful features from images. However we are not able to extract as powerful features from videos. Do we have to make the easy assumption that a video is a sequence of images? How to handle the spatio-temporal aspect of a video?
The topic of this PhD thesis is to answer this interesting and unsolved question. We will focus on video within human related contents. To do so we will make use of deep learning algorithm.
Advisor Christian Wolf
Encadrant en co-direction Julien Mille

Last update : 2018-01-09 11:40:01