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CVPR
2009
IEEE
15 years 4 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
95
Voted
ICPR
2008
IEEE
16 years 1 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
SCVMA
2004
Springer
15 years 6 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
91
Voted
BMCBI
2005
92views more  BMCBI 2005»
15 years 14 days ago
A restraint molecular dynamics and simulated annealing approach for protein homology modeling utilizing mean angles
Background: We have developed the program PERMOL for semi-automated homology modeling of proteins. It is based on restrained molecular dynamics using a simulated annealing protoco...
Andreas Möglich, Daniel Weinfurtner, Till Mau...
BMCBI
2010
201views more  BMCBI 2010»
15 years 20 days ago
Analysis of X-ray Structures of Matrix Metalloproteinases via Chaotic Map Clustering
Background: Matrix metalloproteinases (MMPs) are well-known biological targets implicated in tumour progression, homeostatic regulation, innate immunity, impaired delivery of pro-...
Ilenia Giangreco, Orazio Nicolotti, Angelo Carotti...