Using lupi to improve complex activity recognition
Sensor-based activity recognition can recognize simple activities such as walking and
running with high accuracy, but it is difficult to recognize complex activities such as nursing …
running with high accuracy, but it is difficult to recognize complex activities such as nursing …
Human activity recognition using robust adaptive privileged probabilistic learning
In this work, a supervised probabilistic approach is proposed that integrates the learning
using privileged information (LUPI) paradigm into a hidden conditional random field (HCRF) …
using privileged information (LUPI) paradigm into a hidden conditional random field (HCRF) …
Robust incremental hidden conditional random fields for human action recognition
Hidden conditional random fields (HCRFs) are a powerful supervised classification system,
which is able to capture the intrinsic motion patterns of a human action. However, finding the …
which is able to capture the intrinsic motion patterns of a human action. However, finding the …
Recaspia: Recognizing carrying actions in single images using privileged information
Many approaches for action recognition focus on general actions, such as" running" or"
walking". This work presents a method for recognizing carrying actions in single images, by …
walking". This work presents a method for recognizing carrying actions in single images, by …
Human Activity Recognition Using Robust Adaptive Privileged Probabilistic Learning
In this work, a novel method based on the learning using privileged information (LUPI)
paradigm for recognizing complex human activities is proposed that handles missing …
paradigm for recognizing complex human activities is proposed that handles missing …
学習時付加情報を用いたセンサ行動認識の精度改善
安達康**， 井上創造 - マルチメディア, 分散協調とモバイル …, 2021 - ipsj.ixsq.nii.ac.jp
論文抄録 センサ行動認識は,「歩いている」「走っている」 などのシンプルな行動は高い認識精度で
認識できる一方で, 看護行動などの複雑な行動は認識が難しい. 解決手段として …
認識できる一方で, 看護行動などの複雑な行動は認識が難しい. 解決手段として …