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» Probabilistic Scene Models for Image Interpretation
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ECCV
2010
Springer
14 years 10 months ago
Joint Estimation of Motion, Structure and Geometry from Stereo Sequences
We present a novel variational method for the simultaneous estimation of dense scene flow and structure from stereo sequences. In contrast to existing approaches that rely on a ful...
Levi Valgaerts, Andrés Bruhn, Henning Zimme...
ICCV
2005
IEEE
15 years 3 months ago
Behaviour Understanding in Video: A Combined Method
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
CVIU
2006
317views more  CVIU 2006»
14 years 9 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
ECML
2001
Springer
15 years 2 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
IVC
2010
121views more  IVC 2010»
14 years 8 months ago
Multiview segmentation and tracking of dynamic occluding layers
We present an algorithm for the layered segmentation of video data in multiple views. The approach is based on computing the parameters of a layered representation of the scene in...
Ian D. Reid, Keith Connor