Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Crouzil, Alain"'
Autor:
Mademlis, Ioannis, Cani, Jorgen, Mancuso, Marina, Paternoster, Caterina, Adamakis, Emmanouil, Margetis, George, Chambon, Sylvie, Crouzil, Alain, Lechelek, Loubna, Dede, Georgia, Evangelatos, Spyridon, Lalas, George, Mignet, Franck, Linardatos, Pantelis, Kentrotis, Konstantinos, Gierszal, Henryk, Tyczka, Piotr, Karagiorgou, Sophia, Pantelis, George, Stavropoulos, Georgios, Votis, Konstantinos, Papadopoulos, Georgios Th.
Modern technologies have led illicit firearms trafficking to partially merge with cybercrime, while simultaneously permitting its off-line aspects to become more sophisticated. Law enforcement officers face difficult challenges that require hi-tech s
Externí odkaz:
http://arxiv.org/abs/2406.14949
Human action recognition is an important application domain in computer vision. Its primary aim is to accurately describe human actions and their interactions from a previously unseen data sequence acquired by sensors. The ability to recognize, under
Externí odkaz:
http://arxiv.org/abs/2208.03775
The ability to accurately detect and localize objects is recognized as being the most important for the perception of self-driving cars. From 2D to 3D object detection, the most difficult is to determine the distance from the ego-vehicle to objects.
Externí odkaz:
http://arxiv.org/abs/2103.03977
Autor:
Roman-Jimenez, Geoffrey, Guyot, Patrice, Malon, Thierry, Chambon, Sylvie, Charvillat, Vincent, Crouzil, Alain, Péninou, André, Pinquier, Julien, Sedes, Florence, Sénac, Christine
This paper addresses the problem of vehicle re-identification using distance comparison of images in CNN latent spaces. Firstly, we study the impact of the distance metrics, comparing performances obtained with different metrics: the minimal Euclidea
Externí odkaz:
http://arxiv.org/abs/1910.09458
Autor:
Pham, Huy Hieu, Salmane, Houssam, Khoudour, Louahdi, Crouzil, Alain, Zegers, Pablo, Velastin, Sergio A
We present a deep learning-based multitask framework for joint 3D human pose estimation and action recognition from RGB video sequences. Our approach proceeds along two stages. In the first, we run a real-time 2D pose detector to determine the precis
Externí odkaz:
http://arxiv.org/abs/1907.06968
Autor:
Pham, Huy Hieu, Salmane, Houssam, Khoudour, Louahdi, Crouzil, Alain, Zegers, Pablo, Velastin, Sergio A
We present a new deep learning approach for real-time 3D human action recognition from skeletal data and apply it to develop a vision-based intelligent surveillance system. Given a skeleton sequence, we propose to encode skeleton poses and their moti
Externí odkaz:
http://arxiv.org/abs/1907.03520
Recognizing human actions in untrimmed videos is an important challenging task. An effective 3D motion representation and a powerful learning model are two key factors influencing recognition performance. In this paper we introduce a new skeleton-bas
Externí odkaz:
http://arxiv.org/abs/1812.10550
Publikováno v:
In Expert Systems With Applications 1 April 2023 215
We propose a novel skeleton-based representation for 3D action recognition in videos using Deep Convolutional Neural Networks (D-CNNs). Two key issues have been addressed: First, how to construct a robust representation that easily captures the spati
Externí odkaz:
http://arxiv.org/abs/1807.07033
The computer vision community is currently focusing on solving action recognition problems in real videos, which contain thousands of samples with many challenges. In this process, Deep Convolutional Neural Networks (D-CNNs) have played a significant
Externí odkaz:
http://arxiv.org/abs/1803.07781