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» Discrete optimization in computer vision
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ECCV
2000
Springer
16 years 6 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
ICPR
2008
IEEE
16 years 5 months ago
Object detection at multiple scales improves accuracy
For detecting objects in natural visual scenes, several powerful image features have been proposed which can collectively be described as spatial histograms of oriented energy. Th...
Stanley M. Bileschi
ICPR
2008
IEEE
16 years 5 months ago
Recursive structure and motion estimation from noisy uncalibrated video sequences
This paper builds on a novel framework of hybrid matching constraints for estimation of structure and recovery of camera focal length and motion, combining the advantages of both ...
Anders Heyden, Du Q. Huynh
ICPR
2006
IEEE
16 years 5 months ago
Classifiers for Motion
In this paper we present a unsupervised learning based approach for sub-pixel motion estimation. The novelty of this work is the learning based method itself which tries to learn ...
Mithun Das Gupta, Nemanja Petrovic, ShyamSundar Ra...
ICPR
2006
IEEE
16 years 5 months ago
Phoneme segmentation of speech
In most approaches to speech recognition, the speech signals are segmented using constant-time segmentation, for example into 25 ms blocks. Constant segmentation risks losing info...
Bartosz Ziólko, Suresh Manandhar, Richard C...