195 search results - page 19 / 39 » Learning Active Basis Model for Object Detection and Recogni... |
ICAPR
2009
Springer
14 years 7 months ago
2009
Springer
We present a novel predictive statistical framework to improve the performance of an Eigen Tracker which uses fast and efficient eigen space updates to learn new views of the obje...
114
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
70
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CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
NIPS
2001
14 years 11 months ago
2001
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...