Automated Markerless Extraction of Walking People Using Deformable Contour Models
Automated Markerless Extraction of Walking People Using Deformable Contour Models
We develop a new automated markerless motion capture system for the analysis of walking people. We employ global evidence gathering techniques guided by biomechanical analysis to robustly extract articulated motion. This forms a basis for new deformable contour models, using local image cues to capture shape and motion at a more detailed level. We extend the greedy snake formulation to include temporal constraints and occlusion modelling, increasing the capability of this technique when dealing with cluttered and self-occluding extraction targets. This approach is evaluated on a large database of indoor and outdoor video data, demonstrating fast and autonomous motion capture for walking people.
motion capture, gait, walking, snakes
399-406
Wagg, David K
a6df8725-c301-4516-8cfc-e63afacfb166
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
July 2004
Wagg, David K
a6df8725-c301-4516-8cfc-e63afacfb166
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Wagg, David K and Nixon, Mark S
(2004)
Automated Markerless Extraction of Walking People Using Deformable Contour Models.
Computer Animation and Virtual Worlds, 15 (3-4), .
Abstract
We develop a new automated markerless motion capture system for the analysis of walking people. We employ global evidence gathering techniques guided by biomechanical analysis to robustly extract articulated motion. This forms a basis for new deformable contour models, using local image cues to capture shape and motion at a more detailed level. We extend the greedy snake formulation to include temporal constraints and occlusion modelling, increasing the capability of this technique when dealing with cluttered and self-occluding extraction targets. This approach is evaluated on a large database of indoor and outdoor video data, demonstrating fast and autonomous motion capture for walking people.
Text
casa2004_pre-print.pdf
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More information
Published date: July 2004
Keywords:
motion capture, gait, walking, snakes
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 259547
URI: http://eprints.soton.ac.uk/id/eprint/259547
PURE UUID: f3dbb855-2ff5-41dc-8648-e6041315f8d8
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Date deposited: 28 Jul 2004
Last modified: 15 Mar 2024 02:35
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Author:
David K Wagg
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