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108
Voted
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper presents an approach to unsupervised segmentation of moving and static objects occurring in a video. Objects are, in general, spatially cohesive and characterized by lo...
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
Recognizing object classes and their 3D viewpoints is an
important problem in computer vision. Based on a partbased
probabilistic representation [31], we propose a new
3D object...
113
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
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...
106
click to vote
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
We present a new variational level-set-based segmentation
formulation that uses both shape and intensity prior information
learned from a training set. By applying Bayes’
rule...
90
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
This paper addresses real-time automatic visual tracking,
labeling and classification of a variable number of
objects such as pedestrians or/and vehicles, under timevarying
illu...