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CLEAR
2007
Springer

An Appearance-Based Particle Filter for Visual Tracking in Smart Rooms

9 years 4 months ago
An Appearance-Based Particle Filter for Visual Tracking in Smart Rooms
This paper presents a visual particle filter for tracking a variable number of humans interacting in indoor environments, using multiple cameras. It is built upon a 3-dimensional, descriptive appearance model which features (i) a 3D shape model assembled from simple body part elements and (ii) a fast while still reliable rendering procedure developed on a key view basis of previously acquired body part color histograms. A likelihood function is derived which, embedded in an occlusion-robust multibody tracker, allows for robust and ID persistent 3D tracking in cluttered environments. We describe both model rendering and target detection procedures in detail, and report a quantitative evaluation of the approach on the ’CLEAR’07 3D Person Tracking’ corpus.
Oswald Lanz, Paul Chippendale, Roberto Brunelli
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CLEAR
Authors Oswald Lanz, Paul Chippendale, Roberto Brunelli
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