22 search results - page 1 / 5 » Human Detection via Classification on Riemannian Manifolds |
90
Voted
CVPR
2007
IEEE
16 years 8 days ago
2007
IEEE
We present a new algorithm to detect humans in still images utilizing covariance matrices as object descriptors. Since these descriptors do not lie on a vector space, well known m...
111
Voted
PAMI
2008
14 years 10 months ago
2008
Detecting different categories of objects in image and video content is one of the fundamental tasks in computer vision research. The success of many applications such as visual s...
85
Voted
CVPR
2008
IEEE
15 years 1 days ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
104
Voted
ICPR
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...
122
Voted
TKDE
2011
14 years 5 months ago
2011
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...