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Automated Markerless Extraction of Walking People Using Deformable Contour Models

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
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 & Virtual Worlds, 15 (3-4), 399-406.

Record type: Article

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.

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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: https://eprints.soton.ac.uk/id/eprint/259547
PURE UUID: f3dbb855-2ff5-41dc-8648-e6041315f8d8
ORCID for Mark S Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 28 Jul 2004
Last modified: 20 Jul 2019 01:28

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Contributors

Author: David K Wagg
Author: Mark S Nixon ORCID iD

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