Vision-based human action recognition: An overview and real world challenges
Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …
become one of the most attractive research fields. Ambiguities in recognizing actions does …
Space-time representation of people based on 3D skeletal data: A review
Spatiotemporal human representation based on 3D visual perception data is a rapidly
growing research area. Representations can be broadly categorized into two groups …
growing research area. Representations can be broadly categorized into two groups …
Intelligent multi-camera video surveillance: A review
X Wang - Pattern recognition letters, 2013 - Elsevier
Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …
vision, pattern recognition, signal processing, communication, embedded computing and …
A survey of vision-based methods for action representation, segmentation and recognition
Action recognition has become a very important topic in computer vision, with many
fundamental applications, in robotics, video surveillance, human–computer interaction, and …
fundamental applications, in robotics, video surveillance, human–computer interaction, and …
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 …
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 …
Unsupervised learning of human action categories using spatial-temporal words
We present a novel unsupervised learning method for human action categories. A video
sequence is represented as a collection of spatial-temporal words by extracting space-time …
sequence is represented as a collection of spatial-temporal words by extracting space-time …
Using learning analytics to assess students' behavior in open-ended programming tasks
P Blikstein - Proceedings of the 1st international conference on …, 2011 - dl.acm.org
There is great interest in assessing student learning in unscripted, open-ended
environments, but students' work can evolve in ways that are too subtle or too complex to be …
environments, but students' work can evolve in ways that are too subtle or too complex to be …
View-independent action recognition from temporal self-similarities
This paper addresses recognition of human actions under view changes. We explore self-
similarities of action sequences over time and observe the striking stability of such measures …
similarities of action sequences over time and observe the striking stability of such measures …
Hierarchical spatio-temporal context modeling for action recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to
its great potentials in many practical applications. Most previous research is limited due to …
its great potentials in many practical applications. Most previous research is limited due to …