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ICPR
2004
IEEE
16 years 7 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
ICIAP
2001
Springer
16 years 6 months ago
Text Enhancement with Asymmetric Filter for Video OCR
Stripes are common sub-structures of text characters, and the scale of these stripes varies little within a word. This scale consistency thus provides us with a useful feature for...
Datong Chen, Hervé Bourlard, Kim Shearer
DCC
2002
IEEE
16 years 6 months ago
Diagnostically Lossless 3D Wavelet Compression for Digital Angiogram Video
A novel method for the compression of angiogram video sequences is presented. The approach is based on the idea that not all of an angiogram image will de diagnostically significa...
David Gibson, Sandra I. Woolley, Michael Spann
ICVS
2009
Springer
16 years 28 days ago
Incremental Video Event Learning
We propose a new approach for video event learning. The only hypothesis is the availability of tracked object attributes. The approach incrementally aggregates the attributes and r...
Marcos Zúñiga, François Br&ea...
AVSS
2008
IEEE
16 years 26 days ago
Recognizing Shapes in Video Sequences Using Multi-class Boosting
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
Naresh P. Cuntoor, Matt Welborn