Tesi etd-01222021-175244 |
Link copiato negli appunti
Tipo di tesi
Tesi di laurea magistrale
Autore
CAFARELLI, DONATO
URN
etd-01222021-175244
Titolo
Developing and Experimenting Approaches for Facial Expression Recognition in Images from Surveillance Cameras
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
COMPUTER ENGINEERING
Relatori
relatore Prof. Falchi, Fabrizio
relatore Dott. Massoli, Fabio Valerio
relatore Prof. Amato, Giuseppe
relatore Prof. Gennaro, Claudio
relatore Dott. Massoli, Fabio Valerio
relatore Prof. Amato, Giuseppe
relatore Prof. Gennaro, Claudio
Parole chiave
- arificial intelligence
- cnn
- deep learning
- emotion recognition
- facial analysis
- facial expression recognition
- machine learning
Data inizio appello
19/02/2021
Consultabilità
Completa
Riassunto
A large number of surveillance cameras are available in many cities. However, their use for automatic visual analysis is very limited.
In this thesis, we focus on particular in non-security oriented analysis such as sentiment through facial expression recognition.
Other information that could be useful, especially in combination with the sentiment is age and gender.
In this thesis, we focus on particular in non-security oriented analysis such as sentiment through facial expression recognition.
Other information that could be useful, especially in combination with the sentiment is age and gender.
File
| Nome file | Dimensione |
|---|---|
| thesis_f...ition.pdf | 8.99 Mb |
Contatta l’autore |
|