Sciweavers

125 search results - page 6 / 25
» Object Recognition via Local Patch Labelling
Sort
View
CVPR
2009
IEEE
14 years 2 months ago
Trajectory parsing by cluster sampling in spatio-temporal graph
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin
WACV
2005
IEEE
14 years 1 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
SCALESPACE
2009
Springer
14 years 4 days ago
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut
We propose a semi-supervised image segmentation method that relies on a non-local continuous version of the min-cut algorithm and labels or seeds provided by a user. The segmentati...
Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F...
CIARP
2008
Springer
13 years 9 months ago
Learning and Forgetting with Local Information of New Objects
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
Fernando Vázquez, José Salvador S&aa...
CVPR
2011
IEEE
13 years 3 months ago
Learning A Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training data, we also assoc...
Zhuolin Jiang, Zhe Lin, Larry Davis