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 …

[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 …

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 …

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 …

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 …

[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 …

Survey of Action Recognition Based on Attention Mechanism

Z Wu, N Ma, Y Yao, G Zhang - Proceedings of 2021 Chinese Intelligent …, 2022 - Springer
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 …

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 …

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 …

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 …