Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/141237
Title: Towards routine discovery from egocentric photostreams
Author: Bevzenko, Alexander
Director/Tutor: Talavera, Estefanía
Keywords: Processament digital d'imatges
Aprenentatge automàtic
Programari
Treballs de fi de grau
Sistemes classificadors (Intel·ligència artificial)
Càmeres de vídeo digitals
Digital image processing
Machine learning
Computer software
Learning classifier systems
Digital video cameras
Bachelor's thesis
Issue Date: 1-Feb-2019
Abstract: [en] When I was thinking what topic to choose and what work would it be. On the one hand I wanted it to be from the area that is particularly interesting and I can use my knowledge. On the other hand I wanted to study something new and exciting. This work exceeded my expectations. In this work I apply all my skills developed during my education in University of Barcelona to work on real scientific case. I do my research reading many papers on topic, develop methods that suit my case, brainstorm new ideas, spend hours coding and debugging them, spend days waiting calculations to finish and finally - obtain results I’m satisfied with. This work is about turning 106 days and 70GB of egocentric photostreams into a simple predictions if a particular day is a routine or no.
Note: Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2019, Director: Estefanía Talavera
URI: http://hdl.handle.net/2445/141237
Appears in Collections:Programari - Treballs de l'alumnat
Treballs Finals de Grau (TFG) - Enginyeria Informàtica

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