A survey of human action recognition and posture prediction
Human action recognition and posture prediction aim to recognize and predict respectively
the action and postures of persons in videos. They are both active research topics in …
the action and postures of persons in videos. They are both active research topics in …
Human action recognition from digital videos based on deep learning
With the development of closed-circuit television, video-based human motion recognition
has made great progress. A large number of surveillance video footages have been …
has made great progress. A large number of surveillance video footages have been …
Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation
Modern agriculture relies heavily on the precise application of chemicals such as fertilisers,
herbicides, and pesticides, which directly affect both crop yield and environmental footprint …
herbicides, and pesticides, which directly affect both crop yield and environmental footprint …
RNNs, CNNs and Transformers in Human Action Recognition: A Survey and A Hybrid Model
Human Action Recognition (HAR) encompasses the task of monitoring human activities
across various domains, including but not limited to medical, educational, entertainment …
across various domains, including but not limited to medical, educational, entertainment …
What we see is what we do: a practical Peripheral Vision-Based HMM framework for gaze-enhanced recognition of actions in a medical procedural task
FS Wang, T Kreiner, A Lutz, Q Lohmeyer… - User Modeling and User …, 2023 - Springer
Deep learning models have shown remarkable performances in egocentric video-based
action recognition (EAR), but rely heavily on a large quantity of training data. In specific …
action recognition (EAR), but rely heavily on a large quantity of training data. In specific …
Face anti‐spoofing from the perspective of data sampling
U Muhammad, M Oussalah - Electronics Letters, 2023 - Wiley Online Library
Without deploying face anti‐spoofing countermeasures, face recognition systems can be
spoofed by presenting a printed photo, a video, or a silicon mask of a genuine user. Thus …
spoofed by presenting a printed photo, a video, or a silicon mask of a genuine user. Thus …
A Real-time 3-Dimensional Object Detection Based Human Action Recognition Model
Computer vision technologies have greatly improved in the last few years. Many problems
have been solved using deep learning merged with more computational power. Action …
have been solved using deep learning merged with more computational power. Action …
[PDF][PDF] A CNN-based method for human action analysis using nighttime infrared images
Y Liu, K Matsui, Y Kageyama, H Shirai… - International Journal of …, 2023 - ijicic.org
Compared with daytime, more pedestrian-vehicle traffic accidents occur late at night. To
reduce the number of accidents, we studied the reasons behind this trend. We analyzed …
reduce the number of accidents, we studied the reasons behind this trend. We analyzed …
Action recognition for sports video analysis using part-attention spatio-temporal graph convolutional network
J Liu, Y Che - Journal of Electronic Imaging, 2021 - spiedigitallibrary.org
Action recognition makes significant contributions to sports video analysis, especially for
athletes' training evaluations. For sports video analysis, the action information is mainly …
athletes' training evaluations. For sports video analysis, the action information is mainly …
Action Localization Using 2D-CNN and 3D-CNN Collaboration
J Tong, J Li, M Zhang, B Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
Detecting human actions in videos is crucial for human-computer interaction, intelligent
security, etc. Temporal and spatial information is very important for action localization, as …
security, etc. Temporal and spatial information is very important for action localization, as …