Automated Markerless Extraction of Walking People Using Deformable Contour Models
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), 399-406.
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.
|Keywords:||motion capture, gait, walking, snakes|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||28 Jul 2004|
|Last Modified:||18 Aug 2012 03:35|
|Contributors:||Wagg, David K (Author)
Nixon, Mark S (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||14|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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