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» Finding Paths in Video Sequences
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ISMAR
2007
IEEE
15 years 6 months ago
Feature Tracking for Mobile Augmented Reality Using Video Coder Motion Vectors
We propose a novel, low-complexity, tracking scheme that uses motion vectors directly from a video coder. We compare our tracking algorithm against ground truth data, and show tha...
Gabriel Takacs, Vijay Chandrasekhar, Bernd Girod, ...
AVSS
2003
IEEE
15 years 5 months ago
Color-Based Video Stabilization for Real-Time On-Board Object Detection on High-Speed Trains
This paper is concerned with a particular application of image stabilization1 . Image stabilization is a necessary step to reduce the effect of camera motion when, as in this case...
Stefano Piva, Michela Zara, Gianluca Gera, Carlo S...
TCSV
2002
99views more  TCSV 2002»
14 years 11 months ago
Embedded coring in MPEG video compression
Coring is a well-known technique for removing noise from images. The mechanism of coring consists of transforming a noise-degraded image into a frequency-domain representation, fol...
Peter M. B. van Roosmalen, Reginald L. Lagendijk, ...
91
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BMCBI
2010
117views more  BMCBI 2010»
14 years 12 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski
ICPR
2006
IEEE
16 years 26 days ago
GMM-based SVM for face recognition
A new face recognition algorithm is presented. It supposes that a video sequence of a person is available both at enrollment and test time. During enrollment, a client Gaussian Mi...
Gérard Chollet, Hervé Bredin, Najim ...