1354 search results - page 42 / 271 » Learning Object Models from Appearance |
IROS
2006
IEEE
15 years 5 months ago
2006
IEEE
— An algorithm for tracking articulating objects from moving camera platforms is presented. Mixtures of mixtures are used to model the appearance of the object and the background...
159
click to vote
ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
Night surveillance is a challenging task because of low brightness, low contrast, low Signal to Noise Ratio (SNR) and low appearance information. Most existing models for night su...
102
click to vote
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
133
click to vote
CIVR
2008
Springer
15 years 1 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
PAMI
2010
14 years 10 months ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...