Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Hazar Mliki"'
Publikováno v:
Multimedia Systems. 29:421-433
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c71d2a0c516af4f868bfecb775da2deb
https://doi.org/10.1007/s00530-022-01011-8
https://doi.org/10.1007/s00530-022-01011-8
Publikováno v:
International Journal of Software Innovation. 10:1-15
In this paper, we introduce a new method for face recognition in multi-resolution images. The proposed method is composed of two phases: an off-line phase and an inference phase. In the off-line phase, we built the Kernel Partial Least Squares (KPLS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2273c36e84dafe05a7c877dc438dcf5
https://doi.org/10.4018/ijsi.292018
https://doi.org/10.4018/ijsi.292018
Publikováno v:
Multimedia Tools and Applications. 80:28001-28014
The face aging process is subject to multiple influences. This may probably involve several inherited and various environmental and biological factors like the differences observed between males and females. In fact, male and female facial skin diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad4b268f9ef9738dae51892bd60887f7
https://doi.org/10.1007/s11042-021-11060-2
https://doi.org/10.1007/s11042-021-11060-2
Publikováno v:
KES
Intelligent video surveillance systems represent a potent tool for preserving human security in public places. Indeed, these surveillance systems are requested in several real-life scenarios, in order to assist security guards by alerting them in abn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7e94bb89727f279aa604a34a7932204
https://doi.org/10.1016/j.procs.2021.08.033
https://doi.org/10.1016/j.procs.2021.08.033
Publikováno v:
Signal, Image and Video Processing. 14:1345-1353
In this paper, we introduce a deep learning (CNN) based method for face detection in an uncontrolled environment. The proposed method consists in developing a CNN architecture dedicated to the face detection tasks by combining both of global and loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b03563d3d618d759dd762c1bc1dfbe
https://doi.org/10.1007/s11760-020-01680-w
https://doi.org/10.1007/s11760-020-01680-w
Publikováno v:
Fourteenth International Conference on Machine Vision (ICMV 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d0cef577c3ba975cdb8bdc23d71aa6b
https://doi.org/10.1117/12.2622541
https://doi.org/10.1117/12.2622541
Publikováno v:
Signal, Image and Video Processing. 12:845-852
This paper introduces a new method for human action recognition based on human body skeleton. The proposed method is composed of two phases: an off-line phase which selects the most discriminant human body regions and an online phase to classify the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3471e1fdf5c4e8e96a6ce04153898381
https://doi.org/10.1007/s11760-017-1227-z
https://doi.org/10.1007/s11760-017-1227-z
Abnormal crowd density estimation in aerial images based on the deep and handcrafted features fusion
Publikováno v:
Expert Systems with Applications. 173:114656
Abnormal crowd analysis has always been an interesting research area since it ensures people’s safety and prevents crowd disasters in large scale events. In particular, crowd density estimation in aerial images has the advantage of monitoring open
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0660eb175c706bcc8671e46400790b44
https://doi.org/10.1016/j.eswa.2021.114656
https://doi.org/10.1016/j.eswa.2021.114656
Publikováno v:
Pattern Recognition. 100:107140
This research paper introduces a new approach for human activity recognition from UAV-captured video sequences. The proposed approach involves two phases: an offline phase and an inference phase. A scene stabilization step is performed together with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b79addb06197b7275df37b88702cf68b
https://doi.org/10.1016/j.patcog.2019.107140
https://doi.org/10.1016/j.patcog.2019.107140
Publikováno v:
ISIVC
This paper presents a novel method to detect unusual crowd behavior in a video sequence using probability models of speeds and directions. Thus, optical flow is used to extract velocities at each image frame, which are then reduced to speed and motio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::771a74812122d8b24a8de2faaa173c52
https://doi.org/10.1109/isivc.2018.8709192
https://doi.org/10.1109/isivc.2018.8709192