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» Graph-Theoretical Methods in Computer Vision
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95
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BMVC
2002
15 years 2 months ago
Spatial and Probabilistic Modelling of Pedestrian Behaviour
This paper investigates the combination of spatial and probabilistic models for reasoning about pedestrian behaviour in visual surveillance systems. Models are learnt by a multi-s...
Dimitrios Makris, Tim Ellis
97
Voted
CVPR
2012
IEEE
13 years 2 months ago
Multitarget data association with higher-order motion models
We present an iterative approximate solution to the multidimensional assignment problem under general cost functions. The method maintains a feasible solution at every step, and i...
Robert T. Collins
CVPR
2012
IEEE
13 years 2 months ago
Image denoising: Can plain neural networks compete with BM3D?
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with c...
Harold Christopher Burger, Christian J. Schuler, S...
136
Voted
CVPR
2012
IEEE
13 years 2 months ago
Seeing double without confusion: Structure-from-motion in highly ambiguous scenes
3D reconstruction from an unordered set of images may fail due to incorrect epipolar geometries (EG) between image pairs arising from ambiguous feature correspondences. Previous m...
Nianjuan Jiang, Ping Tan, Loong Fah Cheong
CVPR
2012
IEEE
13 years 2 months ago
Background segmentation with feedback: The Pixel-Based Adaptive Segmenter
In this paper we present a novel method for foreground segmentation. Our proposed approach follows a nonparametric background modeling paradigm, thus the background is modeled by ...
Martin Hofmann 0011, Philipp Tiefenbacher, Gerhard...