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CVPR
2006
IEEE
14 years 9 months ago
Counting Crowded Moving Objects
In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
Vincent Rabaud, Serge Belongie
CVPR
2007
IEEE
14 years 9 months ago
Symmetric Objects are Hardly Ambiguous
Given any two images taken under different illumination conditions, there always exist a physically realizable object which is consistent with both the images even if the lighting...
Gaurav Aggarwal, Soma Biswas, Rama Chellappa
ICCV
2003
IEEE
14 years 9 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
ECCV
2008
Springer
14 years 9 months ago
A Segmentation Based Variational Model for Accurate Optical Flow Estimation
Segmentation has gained in popularity in stereo matching. However, it is not trivial to incorporate it in optical flow estimation due to the possible non-rigid motion problem. In t...
Li Xu, Jianing Chen, Jiaya Jia
ICPR
2002
IEEE
14 years 8 months ago
Regularized Patch Motion Estimation
This paper presents a new formulation of the problem of motion estimation which attempts to give solutions to classical problems in the field, such as detection of motion disconti...
Ioannis Patras, Marcel Worring