Human action recognition from various data modalities: A review
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …
each action. It has a wide range of applications, and therefore has been attracting increasing …
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
RGB-D-based action recognition datasets: A survey
Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted
increasing attention since the first work reported in 2010. Over this period, many benchmark …
increasing attention since the first work reported in 2010. Over this period, many benchmark …
A comprehensive survey of human action recognition with spatio-temporal interest point (STIP) detector
D Das Dawn, SH Shaikh - The Visual Computer, 2016 - Springer
Over the past two decades, human action recognition from video has been an important
area of research in computer vision. Its applications include surveillance systems, human …
area of research in computer vision. Its applications include surveillance systems, human …
Deep learning and RGB-D based human action, human–human and human–object interaction recognition: A survey
Human activity recognition is one of the most studied topics in the field of computer vision. In
recent years, with the availability of RGB-D sensors and powerful deep learning techniques …
recent years, with the availability of RGB-D sensors and powerful deep learning techniques …
3D human action segmentation and recognition using pose kinetic energy
Human action recognition is challenging, due to large temporal and spatial variations in
actions performed by humans. These variations include significant nonlinear temporal …
actions performed by humans. These variations include significant nonlinear temporal …
[HTML][HTML] A survey on RGB-D datasets
RGB-D data is essential for solving many problems in computer vision. Hundreds of public
RGB-D datasets containing various scenes, such as indoor, outdoor, aerial, driving, and …
RGB-D datasets containing various scenes, such as indoor, outdoor, aerial, driving, and …
Lidar-based gait analysis and activity recognition in a 4d surveillance system
This paper presents new approaches for gait and activity analysis based on data streams of
a rotating multibeam (RMB) Lidar sensor. The proposed algorithms are embedded into an …
a rotating multibeam (RMB) Lidar sensor. The proposed algorithms are embedded into an …
A discussion on the validation tests employed to compare human action recognition methods using the msr action3d dataset
JR Padilla-López, AA Chaaraoui… - arXiv preprint arXiv …, 2014 - arxiv.org
This paper aims to determine which is the best human action recognition method based on
features extracted from RGB-D devices, such as the Microsoft Kinect. A review of all the …
features extracted from RGB-D devices, such as the Microsoft Kinect. A review of all the …
Human action recognition using 3d reconstruction data
GT Papadopoulos, P Daras - … on Circuits and Systems for Video …, 2016 - ieeexplore.ieee.org
In this paper, the problem of human action recognition using 3D reconstruction data is
deeply investigated. 3D reconstruction techniques are employed for addressing two of the …
deeply investigated. 3D reconstruction techniques are employed for addressing two of the …