A survey of advances in vision-based human motion capture and analysis
(2006) In Computer Vision and Image Understanding 104(2-3 SPEC. ISS.). p.90-126- Abstract
This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000 [T.B. Moeslund, E. Granum, A survey of computer vision-based human motion capture, Computer Vision and Image Understanding, 81(3) (2001) 231-268.]. 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... (More)
This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000 [T.B. Moeslund, E. Granum, A survey of computer vision-based human motion capture, Computer Vision and Image Understanding, 81(3) (2001) 231-268.]. 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.
(Less)
- author
- Moeslund, Thomas B. ; Hilton, Adrian and Krüger, Volker LU
- publishing date
- 2006-11-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Human motion, Initialization, Pose estimation, Recognition, Review, Tracking
- in
- Computer Vision and Image Understanding
- volume
- 104
- issue
- 2-3 SPEC. ISS.
- pages
- 37 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:33749990780
- ISSN
- 1077-3142
- DOI
- 10.1016/j.cviu.2006.08.002
- language
- English
- LU publication?
- no
- id
- cbd3c1e0-c321-43fa-bef4-11f8e855675c
- date added to LUP
- 2019-07-08 21:19:36
- date last changed
- 2022-04-26 02:59:44
@article{cbd3c1e0-c321-43fa-bef4-11f8e855675c, abstract = {{<p>This survey reviews advances in human motion capture and analysis from 2000 to 2006, following a previous survey of papers up to 2000 [T.B. Moeslund, E. Granum, A survey of computer vision-based human motion capture, Computer Vision and Image Understanding, 81(3) (2001) 231-268.]. 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.</p>}}, author = {{Moeslund, Thomas B. and Hilton, Adrian and Krüger, Volker}}, issn = {{1077-3142}}, keywords = {{Human motion; Initialization; Pose estimation; Recognition; Review; Tracking}}, language = {{eng}}, month = {{11}}, number = {{2-3 SPEC. ISS.}}, pages = {{90--126}}, publisher = {{Elsevier}}, series = {{Computer Vision and Image Understanding}}, title = {{A survey of advances in vision-based human motion capture and analysis}}, url = {{http://dx.doi.org/10.1016/j.cviu.2006.08.002}}, doi = {{10.1016/j.cviu.2006.08.002}}, volume = {{104}}, year = {{2006}}, }