Author(s): Rodolfo Favaretto ; Paulo Knob ; VILANOVA, FELIPE ; Ângelo Brandelli Costa ; Soraia Raupp Musse
Date: 2022
Persistent ID: https://hdl.handle.net/10923/21752
Origin: Oasisbr
Document details
Detecting personality and emotion traits in crowds from video sequences
Description
Submitted by Biblioteca Suporte PUCRS (biblioteca.suporte@pucrs.br) on 2022-05-24T15:03:47Z No. of bitstreams: 2 Detecting_personality_and_emotion_traits_in_crowds_from_video_sequences.pdf: 3814316 bytes, checksum: e24fdee79562fab1fa91b25df9b440e9 (MD5) Detecting_personality_and_emotion_traits_in_crowds_from_video_sequences.pdf: 3814316 bytes, checksum: e24fdee79562fab1fa91b25df9b440e9 (MD5)
Made available in DSpace on 2022-05-24T15:03:47Z (GMT). No. of bitstreams: 2 Detecting_personality_and_emotion_traits_in_crowds_from_video_sequences.pdf: 3814316 bytes, checksum: e24fdee79562fab1fa91b25df9b440e9 (MD5) Detecting_personality_and_emotion_traits_in_crowds_from_video_sequences.pdf: 3814316 bytes, checksum: e24fdee79562fab1fa91b25df9b440e9 (MD5) Previous issue date: 2018
Document Type
Journal article
Language English
Language English
