A Survey of Advances in Vision-Based Human Motion Capture and Analysis

Research output: Contribution to journalJournal articleResearchpeer-review

1778 Citations (Scopus)

Abstract

This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000
Human motion capture continues to be an increasingly active research area in computer vision with over 350 publications over this period. A number of significant research advances are identified together with novel methodologies for automatic initialization, tracking, pose estimation and movement recognition. Recent research has
addressed reliable tracking and pose estimation in natural scenes. Progress has also been made towards automatic understanding of human actions and behavior.
This survey reviews recent trends in video based human capture and analysis, as well as discussing open problems for future research to achieve automatic visual analysis of human movement.

Original languageEnglish
JournalComputer Vision and Image Understanding
Volume104
Issue number2-3
Pages (from-to)90-127
ISSN1077-3142
DOIs
Publication statusPublished - 2006

Fingerprint

Computer vision

Cite this

@article{c5433600a48a11db8ed6000ea68e967b,
title = "A Survey of Advances in Vision-Based Human Motion Capture and Analysis",
abstract = "This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000 Human motion capture continues to be an increasingly active research area in computer vision with over 350 publications over this period. A number of significant research advances are identified together with novel methodologies for automatic initialization, tracking, pose estimation and movement recognition. Recent research hasaddressed reliable tracking and pose estimation in natural scenes. Progress has also been made towards automatic understanding of human actions and behavior.This survey reviews recent trends in video based human capture and analysis, as well as discussing open problems for future research to achieve automatic visual analysis of human movement.",
author = "Moeslund, {Thomas B.} and Adrian Hilton and Volker Kr{\"u}ger",
year = "2006",
doi = "10.1016/j.cviu.2006.08.002",
language = "English",
volume = "104",
pages = "90--127",
journal = "Computer Vision and Image Understanding",
issn = "1077-3142",
publisher = "Academic Press",
number = "2-3",

}

A Survey of Advances in Vision-Based Human Motion Capture and Analysis. / Moeslund, Thomas B.; Hilton, Adrian; Krüger, Volker.

In: Computer Vision and Image Understanding, Vol. 104, No. 2-3, 2006, p. 90-127.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - A Survey of Advances in Vision-Based Human Motion Capture and Analysis

AU - Moeslund, Thomas B.

AU - Hilton, Adrian

AU - Krüger, Volker

PY - 2006

Y1 - 2006

N2 - This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000 Human motion capture continues to be an increasingly active research area in computer vision with over 350 publications over this period. A number of significant research advances are identified together with novel methodologies for automatic initialization, tracking, pose estimation and movement recognition. Recent research hasaddressed reliable tracking and pose estimation in natural scenes. Progress has also been made towards automatic understanding of human actions and behavior.This survey reviews recent trends in video based human capture and analysis, as well as discussing open problems for future research to achieve automatic visual analysis of human movement.

AB - This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000 Human motion capture continues to be an increasingly active research area in computer vision with over 350 publications over this period. A number of significant research advances are identified together with novel methodologies for automatic initialization, tracking, pose estimation and movement recognition. Recent research hasaddressed reliable tracking and pose estimation in natural scenes. Progress has also been made towards automatic understanding of human actions and behavior.This survey reviews recent trends in video based human capture and analysis, as well as discussing open problems for future research to achieve automatic visual analysis of human movement.

U2 - 10.1016/j.cviu.2006.08.002

DO - 10.1016/j.cviu.2006.08.002

M3 - Journal article

VL - 104

SP - 90

EP - 127

JO - Computer Vision and Image Understanding

JF - Computer Vision and Image Understanding

SN - 1077-3142

IS - 2-3

ER -