Crowd understanding plays a vital role in management processes and continues to receive a growing interest in various public and commercial service sectors. Surveillance, entertainment, marketing, and social sciences are only a few of the fields that can benefit from the development of automatic systems for crowd understanding. Little attention has been paid to the study of who are the subjects that characterize the crowd. In this article, we present a crowd understanding system based on face analysis capable of providing statistics about people in the crowd in terms of demographic (i.e. gender and age group), affective state (i.e. eight emotions, valence and arousal), and fine-grained facial attributes.
Bianco, S., Celona, L., & Schettini, R. (2021). Who Is in the Crowd? Deep Face Analysis for Crowd Understanding. In Pattern Recognition. ICPR International Workshops and Challenges. Virtual Event, January 10–15, 2021, Proceedings, Part II (pp.487-494).
Citazione: | Bianco, S., Celona, L., & Schettini, R. (2021). Who Is in the Crowd? Deep Face Analysis for Crowd Understanding. In Pattern Recognition. ICPR International Workshops and Challenges. Virtual Event, January 10–15, 2021, Proceedings, Part II (pp.487-494). |
Tipo: | slide + paper |
Carattere della pubblicazione: | Scientifica |
Presenza di un coautore afferente ad Istituzioni straniere: | No |
Titolo: | Who Is in the Crowd? Deep Face Analysis for Crowd Understanding |
Autori: | Bianco, S; Celona, L; Schettini, R |
Autori: | |
Data di pubblicazione: | 2021 |
Lingua: | English |
Nome del convegno: | ICPR International Workshops and Challenges |
ISBN: | 978-3-030-68789-2 |
Serie: | IMAGE PROCESSING, COMPUTER VISION, PATTERN RECOGNITION, AND GRAPHICS |
Appare nelle tipologie: | 02 - Intervento a convegno |