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pro vyhledávání: '"Apitzsch, André"'
Optical flow is the motion of a pixel between at least two consecutive video frames and can be estimated through an end-to-end trainable convolutional neural network. To this end, large training datasets are required to improve the accuracy of optica
Externí odkaz:
http://arxiv.org/abs/2104.07960
We propose a person detector on omnidirectional images, an accurate method to generate minimal enclosing rectangles of persons. The basic idea is to adapt the qualitative detection performance of a convolutional neural network based method, namely YO
Externí odkaz:
http://arxiv.org/abs/1805.08503
Publikováno v:
International Journal on Pattern Recognition and Artificial Intelligence, Montreal, 2018, 164-169
Optical flow estimation with convolutional neural networks (CNNs) has recently solved various tasks of computer vision successfully. In this paper we adapt a state-of-the-art approach for optical flow estimation to omnidirectional images. We investig
Externí odkaz:
http://arxiv.org/abs/1804.09004
Autor:
Siedel Roman, Scheck Tobias, Perez Grassi Ana C., Seuffert Julian B., Apitzsch André, Yu Jingrui, Nestler Norbert, Heinz Danny, Lehmann Lars, Goy Anne, Hirtz Gangolf
Publikováno v:
Current Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 388-391 (2020)
In recent years, the demographic change in conjunction with a lack of professional caregivers led to retirement homes reaching capacity. The Alzheimer Disease International stated that over 50 million people suffered from dementia in 2019 worldwide a
Externí odkaz:
https://doaj.org/article/67ce5d6b0a7f40ac93828a0fe49891f7
Autor:
Seidel, Roman, Apitzsch, André, Yu, Jingrui, Seuffert, Julian, Nestler, Norbert, Heinz, Danny, Goy, Anne, Hirtz, Gangolf
Durch den demographischen Wandel in Verbindung mit fehlendem Pflegepersonal gewinnt die Entwicklung technischer Assistenzsysteme im Feld des Active and Assisted Living (AAL) zunehmend an Bedeutung. Zukunftsorientierte Instrumente, die in der Altenp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39320508240a8da0b28350fbf01f6ddc