All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments, including social networks …
have created various computer-mediated virtual environments, including social networks …
Human activity analysis: A review
JK Aggarwal, MS Ryoo - Acm Computing Surveys (Csur), 2011 - dl.acm.org
Human activity recognition is an important area of computer vision research. Its applications
include surveillance systems, patient monitoring systems, and a variety of systems that …
include surveillance systems, patient monitoring systems, and a variety of systems that …
View adaptive neural networks for high performance skeleton-based human action recognition
Skeleton-based human action recognition has recently attracted increasing attention thanks
to the accessibility and the popularity of 3D skeleton data. One of the key challenges in …
to the accessibility and the popularity of 3D skeleton data. One of the key challenges in …
View adaptive recurrent neural networks for high performance human action recognition from skeleton data
Skeleton-based human action recognition has recently attracted increasing attention due to
the popularity of 3D skeleton data. One main challenge lies in the large view variations in …
the popularity of 3D skeleton data. One main challenge lies in the large view variations in …
Eigenjoints-based action recognition using naive-bayes-nearest-neighbor
In this paper, we propose an effective method to recognize human actions from 3D positions
of body joints. With the release of RGBD sensors and associated SDK, human body joints …
of body joints. With the release of RGBD sensors and associated SDK, human body joints …
Behavior recognition via sparse spatio-temporal features
A common trend in object recognition is to detect and leverage the use of sparse, informative
feature points. The use of such features makes the problem more manageable while …
feature points. The use of such features makes the problem more manageable while …
A survey on activity recognition and behavior understanding in video surveillance
S Vishwakarma, A Agrawal - The Visual Computer, 2013 - Springer
This paper provides a comprehensive survey for activity recognition in video surveillance. It
starts with a description of simple and complex human activity, and various applications. The …
starts with a description of simple and complex human activity, and various applications. The …
Machine recognition of human activities: A survey
P Turaga, R Chellappa… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
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 …
Recognizing action at a distance
Our goal is to recognize human action at a distance, at resolutions where a whole person
may be, say, 30 pixels tall. We introduce a novel motion descriptor based on optical flow …
may be, say, 30 pixels tall. We introduce a novel motion descriptor based on optical flow …
Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
A Kovashka, K Grauman - 2010 IEEE computer society …, 2010 - ieeexplore.ieee.org
Recent work shows how to use local spatio-temporal features to learn models of realistic
human actions from video. However, existing methods typically rely on a predefined spatial …
human actions from video. However, existing methods typically rely on a predefined spatial …