Скачать или смотреть "From Seeing to Recognising – an Extended Self-Organizing Map for Human Postures Identification"

◆Title
"From Seeing to Recognising – an Extended Self-Organizing Map for Human Postures Identification", IEEE RA-L, 9(9), 7899-7906, (2023/07/24).
◆Explanation
((Subject/Topic)) Human pose estimation.
((Purpose/Aim)) Human Postures Classification.
((Approach/Idea)) an Extended Self-Organizing Map
((Result))
This is one of the results of joint research between Warsaw University of Technology (Prof. Teresa Zielinska) and Waseda University (Prof. Takafumi Matsumaru). Details are shown on the following paper(s):
Xin He, Teresa Zielinska, Vibekananda Dutta, Takafumi Matsumaru, Robert Sitnik, "From Seeing to Recognising – an Extended Self-Organizing Map for Human Postures Identification," IEEE Robotics and Automation Letters, Volume 9, Issue 9, pp.7899-7906 (8 pages), (2024.09), doi:10.1109/LRA.2024.3433201.
https://ieeexplore.ieee.org/document/...
((Date)) 2024.07.24.
((Copyright)) Bio-Robotics and Human-Mechatronics Laboratory (BRHM lab) (Takafumi Matsumaru Laboratory), Graduate School of Information, Production and Systems (IPS), Waseda University.
https://sem-matsumaru.w.waseda.jp/
https://matsumaru.w.waseda.jp/
((Keywords)) human postures, human actions, Recognition, classification, labelling, sparse encoder, self-organized map (SOM), extended SOM, neighborhood function, SOM weights, Warsaw University of Technology, Waseda University,