Advanced internet of things for personalised healthcare systems: A survey
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a
new research topic in many academic and industrial disciplines, especially in healthcare …
new research topic in many academic and industrial disciplines, especially in healthcare …
Human activity analysis: A review
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 …
Video-mined task graphs for keystep recognition in instructional videos
Procedural activity understanding requires perceiving human actions in terms of a broader
task, where multiple keysteps are performed in sequence across a long video to reach a …
task, where multiple keysteps are performed in sequence across a long video to reach a …
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 activity recognition and behavior understanding in video surveillance
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
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 …
Fine-grained activity recognition by aggregating abstract object usage
In this paper we present results related to achieving finegrained activity recognition for
context-aware computing applications. We examine the advantages and challenges of …
context-aware computing applications. We examine the advantages and challenges of …
Conditional models for contextual human motion recognition
We describe algorithms for recognizing human motion in monocular video sequences,
based on discriminative conditional random fields (CRFs) and maximum entropy Markov …
based on discriminative conditional random fields (CRFs) and maximum entropy Markov …
Advances in human action recognition: A survey
Human action recognition has been an important topic in computer vision due to its many
applications such as video surveillance, human machine interaction and video retrieval. One …
applications such as video surveillance, human machine interaction and video retrieval. One …
Recognition of composite human activities through context-free grammar based representation
This paper describes a general methodology for automated recognition of complex human
activities. The methodology uses a context-free grammar (CFG) based representation …
activities. The methodology uses a context-free grammar (CFG) based representation …