Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Girum Demisse"'
Autor:
Konstantinos Papadopoulos, Girum Demisse, Enjie Ghorbel, Michel Antunes, Djamila Aouada, Björn Ottersten
Publikováno v:
Sensors, Vol 19, Iss 16, p 3503 (2019)
The Dense Trajectories concept is one of the most successful approaches in action recognition, suitable for scenarios involving a significant amount of motion. However, due to noise and background motion, many generated trajectories are irrelevant to
Externí odkaz:
https://doaj.org/article/dc16885328624ba68dd784b8cf3eeb09
Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence; Dec2021, Vol. 43 Issue 12, p4523-4542, 20p
Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence; Jun2018, Vol. 40 Issue 6, p1338-1351, 14p
Publikováno v:
2016 IEEE Conference on Computer Vision & Pattern Recognition (CVPR); 2016, p5042-5050, 9p
Publikováno v:
Computer Vision - ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 & 15-16, 2016, Proceedings, Part II; 2016, p115-129, 15p
Publikováno v:
Computer Vision - ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 & 15-16, 2016, Proceedings, Part II; 2016, pI-XXIII, 23p
Autor:
Papadopoulos, Konstantinos1 (AUTHOR) konstantinos.papadopoulos@uni.lu, Demisse, Girum1 (AUTHOR), Ghorbel, Enjie1 (AUTHOR), Antunes, Michel2 (AUTHOR), Aouada, Djamila1 (AUTHOR), Ottersten, Björn1 (AUTHOR)
Publikováno v:
Sensors (14248220). Aug2019, Vol. 19 Issue 16, p3503-3503. 1p.
Publikováno v:
2015 Fifth International Conference on Communication Systems & Network Technologies; 2015, pXI-XI, 1p
Publikováno v:
2015 IEEE International Conference on Image Processing (ICIP); 2015, p1-156, 156p