Abstract: This paper presents the methods we adopt for ICME2017 large scale 3D human activity analysis challenge in depth videos.
Abstract: This paper presents the methods we adopt for ICME2017 large scale 3D human activity analysis challenge in depth videos.
This paper presents the methods we adopt for ICME2017 large scale 3D human activity analysis challenge in depth videos. There are two tasks including the ...
Oct 22, 2024 · This paper proposes a novel deep convolutional long short-term memory (ConvLSTM) network for skeletal-based activity recognition and fall ...
The paper presents a privacy-preserving activity recognition and fall detection system using the data obtained from Kinect (v2) sensor. 2. We propose a ConvLSTM ...
Mar 2, 2023 · This paper presents an extraneous frame scrapping technique that employs 2D skeleton features with a Fine-KNN classifier-based HAR system to overcome the ...
Jul 1, 2017 · In this paper, we propose a new class of LSTM net- work, Global Context-Aware Attention LSTM (GCA-LSTM), for skeleton based action recognition, ...
Jun 7, 2023 · This paper gives a comprehensive overview of the recent transformer techniques for skeleton action recognition, proposes a taxonomy of transformer-style ...
Oct 1, 2021 · This paper proposes a novel deep convolutional long short-term memory (ConvLSTM) network for skeletal-based activity recognition and fall detection.
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A Survey on 3D Skeleton-Based Action Recognition Using Learning ...
spj.science.org › doi › cbsystems
This research represents the first comprehensive discussion of deep learning-based action recognition using 3D skeleton data.