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» Finding Paths in Video Sequences
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ISMAR
2007
IEEE
15 years 8 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 7 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»
15 years 1 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, ...
BMCBI
2010
117views more  BMCBI 2010»
15 years 2 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 3 months 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 ...