A survey on video-based human action recognition: recent updates, datasets, challenges, and applications
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …
Variational inference: A review for statisticians
One of the core problems of modern statistics is to approximate difficult-to-compute
probability densities. This problem is especially important in Bayesian statistics, which …
probability densities. This problem is especially important in Bayesian statistics, which …
Deep-learning-enhanced human activity recognition for Internet of healthcare things
Along with the advancement of several emerging computing paradigms and technologies,
such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of …
such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of …
Toward human activity recognition: a survey
Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …
community has reported numerous approaches to perform HAR. Along with HAR …
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 …
Modeling temporal structure of decomposable motion segments for activity classification
Much recent research in human activity recognition has focused on the problem of
recognizing simple repetitive (walking, running, waving) and punctual actions (sitting up …
recognizing simple repetitive (walking, running, waving) and punctual actions (sitting up …
Learning latent temporal structure for complex event detection
In this paper, we tackle the problem of understanding the temporal structure of complex
events in highly varying videos obtained from the Internet. Towards this goal, we utilize a …
events in highly varying videos obtained from the Internet. Towards this goal, we utilize a …
Human action recognition in RGB-D videos using motion sequence information and deep learning
EP Ij**a, KM Chalavadi - Pattern Recognition, 2017 - Elsevier
In this paper, we propose an approach for recognizing human actions based on motion
sequence information in RGB-D video using deep learning. A new representation that gives …
sequence information in RGB-D video using deep learning. A new representation that gives …
Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers
Video recordings of earthmoving construction operations provide understandable data that
can be used for benchmarking and analyzing their performance. These recordings further …
can be used for benchmarking and analyzing their performance. These recordings further …
Kernel methods on Riemannian manifolds with Gaussian RBF kernels
In this paper, we develop an approach to exploiting kernel methods with manifold-valued
data. In many computer vision problems, the data can be naturally represented as points on …
data. In many computer vision problems, the data can be naturally represented as points on …