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ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 11 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
ICCV
2009
IEEE
16 years 11 months ago
Super-Resolution from a Single Image
Methods for super-resolution can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained at subpixel misali...
Daniel Glasner, Shai Bagon, Michal Irani
153
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ICCV
2009
IEEE
16 years 11 months ago
A linear formulation of shape from specular flow
When a curved mirror-like surface moves relative to its environment, it induces a motion field—or specular flow— on the image plane that observes it. This specular flow is r...
Guillermo D. Canas, Yuriy Vasilyev, Yair Adato, To...
ICCV
2009
IEEE
16 years 11 months ago
Robust Fitting of Multiple Structures: The Statistical Learning Approach
We propose an unconventional but highly effective approach to robust fitting of multiple structures by using statistical learning concepts. We design a novel Mercer kernel for t...
Tat-Jun Chin, Hanzi Wang, David Suter
ICCV
2009
IEEE
16 years 11 months ago
Active Skeleton for Non-rigid Object Detection
We present a shape-based algorithm for detecting and recognizing non-rigid objects from natural images. The existing literature in this domain often cannot model the objects ver...
Xiang Bai, Xinggang Wang, Longin Jan Latecki, Weny...