Privacy-preserved fall detection method with three-dimensional convolutional neural network using low-resolution infrared array sensor
S Tateno, F Meng, R Qian, Y Hachiya - Sensors, 2020 - mdpi.com
Due to the rapid aging of the population in recent years, the number of elderly people in
hospitals and nursing homes is increasing, which results in a shortage of staff. Therefore, the …
hospitals and nursing homes is increasing, which results in a shortage of staff. Therefore, the …
[PDF][PDF] 多尺度特征融合残差网络的高光谱地物分类
邓子青, 王阳, 张兵, 丁召, 边历峰… - Laser & Optoelectronics …, 2022 - researching.cn
摘要为充分提取高光谱图像(HSI) 的光谱空间信息特征, 实现HSI 的高精度地物分类,
提出端到端的多尺度特征融合残差(MFFI) 模块. 该模块结合了3D 多尺度卷积 …
提出端到端的多尺度特征融合残差(MFFI) 模块. 该模块结合了3D 多尺度卷积 …
Detection of Dangerous Human Behavior by Using Optical Flow and Hybrid Deep Learning
LM Salim, Y Celik - Electronics, 2024 - mdpi.com
Dangerous human behavior in the driving sense may cause traffic accidents and even
cause economic losses and casualties. Accurate identification of dangerous human …
cause economic losses and casualties. Accurate identification of dangerous human …
Target perception and behavioural recognition algorithms based on saliency and feature extraction
W Ni, B Zhang, J Zhang, J Zou, Z Xu, Z Qiu - IEEE Access, 2023 - ieeexplore.ieee.org
In response to the problems of target loss and insufficient accuracy in existing target
perception and action recognition algorithms, this paper proposes a target perception and …
perception and action recognition algorithms, this paper proposes a target perception and …
The Current Landscape of Multimodal Summarization
K Atharva, K Harsh, M Atmaja, S Sheetal… - Proceedings of the …, 2023 - aclanthology.org
In recent years, the rise of multimedia content on the internet has inundated users with a vast
and diverse array of information, including images, videos, and textual data. Handling this …
and diverse array of information, including images, videos, and textual data. Handling this …
[PDF][PDF] A novel approach for enhanced abnormal action recognition via coarse and precise detection stage
Y Lei, M Ding, T Lu, J Li, D Zhao… - Electronic Research …, 2024 - aimspress.com
With the proliferation of urban video surveillance systems, the abundance of surveillance
video data has emerged as a pivotal asset for enhancing public safety. Within these video …
video data has emerged as a pivotal asset for enhancing public safety. Within these video …
Survey of Action Recognition Based on Attention Mechanism
Attention mechanism for action recognition is to enhance data by using attention mechanism
so as to recognize human action in video. This research has been intensely investigated in …
so as to recognize human action in video. This research has been intensely investigated in …
Multi-Stage Attention-Enhanced Sparse Graph Convolutional Network for Skeleton-Based Action Recognition
C Li, L Zou, C Fan, H Jiang, Y Liu - Electronics, 2021 - mdpi.com
Graph convolutional networks (GCNs), which model human actions as a series of spatial-
temporal graphs, have recently achieved superior performance in skeleton-based action …
temporal graphs, have recently achieved superior performance in skeleton-based action …
Hi-EADN: Hierarchical Excitation Aggregation and Disentanglement Frameworks for Action Recognition Based on Videos
Z Hu, EJ Lee - Symmetry, 2021 - mdpi.com
Most existing video action recognition methods mainly rely on high-level semantic
information from convolutional neural networks (CNNs) but ignore the discrepancies of …
information from convolutional neural networks (CNNs) but ignore the discrepancies of …
処理装置, 推定装置, 監視システム, 処理方法及びプログラム
健全劉, 点剛李 - 2021 - Google Patents
G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY
ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR …
ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR …