Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Didier Ndayikengurukiye"'
Autor:
Didier Ndayikengurukiye, Max Mignotte
Publikováno v:
Sensors, Vol 23, Iss 14, p 6450 (2023)
Salient object-detection models attempt to mimic the human visual system’s ability to select relevant objects in images. To this end, the development of deep neural networks on high-end computers has recently achieved high performance. However, dev
Externí odkaz:
https://doaj.org/article/2c9feb4e61f744038b6ed854713fe446
Autor:
Didier Ndayikengurukiye, Max Mignotte
Publikováno v:
Journal of Imaging, Vol 8, Iss 4, p 110 (2022)
The effortless detection of salient objects by humans has been the subject of research in several fields, including computer vision, as it has many applications. However, salient object detection remains a challenge for many computer models dealing w
Externí odkaz:
https://doaj.org/article/2ad9394182f74766b9c0382d26ea8fe5
Autor:
Max Mignotte, Didier Ndayikengurukiye
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319415000
ICIAR
ICIAR
This paper presents a new and simple gait analysis system, from a depth camera placed in front of a subject walking on a treadmill, capable of detecting a healthy gait from an impaired one. Our system relies on the fact that a normal or healthy walk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc1ac0359c97e1f93c06c4ef3b3b9197
https://doi.org/10.1007/978-3-319-41501-7_5
https://doi.org/10.1007/978-3-319-41501-7_5