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» Otolith Image Analysis by Computer Vision
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MVA
2007
140views Computer Vision» more  MVA 2007»
14 years 11 months ago
A Review of Tracking Methods under Occlusions
Object tracking in computer vision refers to the task of tracking individual moving objects accurately from one frame to another in an image sequence. Several tracking methods hav...
Zui Zhang, Massimo Piccardi
ICCV
2003
IEEE
15 years 12 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
BMVC
2010
14 years 8 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
CVPR
2004
IEEE
16 years 1 days ago
Automatic Method for Correlating Horizons across Faults in 3D Seismic Data
Horizons are visible boundaries between certain sediment layers in seismic data, and a fault is a crack of horizons and it is recognized in seismic data by the discontinuities of ...
Fitsum Admasu, Klaus D. Tönnies
TSP
2008
179views more  TSP 2008»
14 years 10 months ago
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...