A survey of advances in vision-based human motion capture and analysis
This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …
Machine recognition of human activities: A survey
The past decade has witnessed a rapid proliferation of video cameras in all walks of life and
has resulted in a tremendous explosion of video content. Several applications such as …
has resulted in a tremendous explosion of video content. Several applications such as …
Classification of brain tumors from MRI images using a convolutional neural network
The classification of brain tumors is performed by biopsy, which is not usually conducted
before definitive brain surgery. The improvement of technology and machine learning can …
before definitive brain surgery. The improvement of technology and machine learning can …
A survey on vision-based human action recognition
R Poppe - Image and vision computing, 2010 - Elsevier
Vision-based human action recognition is the process of labeling image sequences with
action labels. Robust solutions to this problem have applications in domains such as visual …
action labels. Robust solutions to this problem have applications in domains such as visual …
From action to activity: sensor-based activity recognition
As compared to actions, activities are much more complex, but semantically they are more
representative of a human׳ s real life. Techniques for action recognition from sensor …
representative of a human׳ s real life. Techniques for action recognition from sensor …
A review on human activity recognition using vision‐based method
Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …
on the actions of subjects and the environmental conditions. The vision‐based HAR …
Robust human activity recognition from depth video using spatiotemporal multi-fused features
The recently developed depth imaging technologies have provided new directions for
human activity recognition (HAR) without attaching optical markers or any other motion …
human activity recognition (HAR) without attaching optical markers or any other motion …
A review on video-based human activity recognition
This review article surveys extensively the current progresses made toward video-based
human activity recognition. Three aspects for human activity recognition are addressed …
human activity recognition. Three aspects for human activity recognition are addressed …
A review of biometric technology along with trends and prospects
Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …
possession based methods. A wide variety of biometric modalities have been tested so far …
Deep learning on lie groups for skeleton-based action recognition
In recent years, skeleton-based action recognition has become a popular 3D classification
problem. State-of-the-art methods typically first represent each motion sequence as a high …
problem. State-of-the-art methods typically first represent each motion sequence as a high …