Multiple structured light-based depth sensors for human motion analysis: a review

Authors:
Kyis Essmaeel;Luigi Gallo;Ernesto Damiani;Giuseppe De Pietro;Albert Dipandà
Affiliations:
Inst. of High Performance Computing and Networking, Italian National Res. Council, Naples, Italy, Dept. of Computer Techn., University of Milan, Milan, Italy, Laboratoire LE2I (CNRS-UMR 5158), Ail ...;Institute of High Performance Computing and Networking, Italian National Research Council, Naples, Italy;Department of Computer Technology, University of Milan, Milan, Italy;Institute of High Performance Computing and Networking, Italian National Research Council, Naples, Italy;Laboratoire LE2I (CNRS-UMR 5158), Aile des Sciences de l'Ingénieur, Université de Bourgogne, Dijon Cedex, France
Venue:
IWAAL'12 Proceedings of the 4th international conference on Ambient Assisted Living and Home Care
Year:
2012

Citing 10
Cited 0

Human motion analysis: a review

Computer Vision and Image Understanding
A survey of computer vision-based human motion capture

Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
A survey of advances in vision-based human motion capture and analysis

Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Markerless tracking of complex human motions from multiple views

Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Vision-based human motion analysis: An overview

Computer Vision and Image Understanding
Advances in view-invariant human motion analysis: a review

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Design and comparative evaluation of Smoothed Pointing: A velocity-oriented remote pointing enhancement technique

International Journal of Human-Computer Studies
Controller-free exploration of medical image data: Experiencing the Kinect

CBMS '11 Proceedings of the 2011 24th International Symposium on Computer-Based Medical Systems
Reducing interference between multiple structured light depth sensors using motion

VR '12 Proceedings of the 2012 IEEE Virtual Reality
Augmented Reality: Enhanced personal autostereoscopic telepresence system using commodity depth cameras

Computers and Graphics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Human motion analysis is an increasingly important active research domain with various applications in surveillance, human-machine interaction and human posture analysis. The recent developments in depth sensor technology, especially with the release of the Kinect device, have attracted significant attention to the question of how to take advantage of this technology in order to achieve accurate motion tracking and action detection in marker-less approaches. In this paper, we review the benefits and limitations deriving from the adoption of structured light-based depth sensors in human motion analysis applications. Surveying the relevant literature, we have identified in calibration, interference and bias correction the challenges to tackle for an effective adoption of multi-Kinect systems to improve the visual analysis of human movement.