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IBPRIA
2005
Springer

A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking

10 years 4 months ago
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking
Abstract. In this paper we present a method suitable to be used for human tracking as a temporal prior in a particle filtering framework such as CONDENSATION [5]. This method is for predicting feasible human postures given a reduced set of previous postures and will drastically reduce the number of particles needed to track a generic high-articulated object. Given a sequence of preceding postures, this example-driven transition model probabilistically matches the most likely postures from a database of human actions. Each action of the database is defined within a PCAlike space called UaSpace suitable to perform the probabilistic match when searching for similar sequences. So different, but feasible postures of the database become the new predicted poses.
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IBPRIA
Authors Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F. Xavier Roca
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