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» The Dark Side of Object Learning: Learning Objects
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130
Voted
AAI
2010
195views more  AAI 2010»
15 years 3 days ago
Automatic Extraction of Go Game Positions from Images: a Multi-Strategical Approach to Constrained Multi-Object Recognition
Here, we present a constrained object recognition task that has been robustly solved largely with simple machine learning methods, using a small corpus of about 100 images taken u...
Alexander K. Seewald
ACCV
2010
Springer
14 years 10 months ago
Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition
We present a 3D, probabilistic object-surface model, along with mechanisms for probabilistically integrating unregistered 2.5D views into the model, and for segmenting model instan...
Renaud Detry, Justus H. Piater
136
Voted
CVPR
2009
IEEE
16 years 10 months ago
Discriminatively Trained Particle Filters for Complex Multi-Object Tracking
This work presents a discriminative training method for particle filters in the context of multi-object tracking. We are motivated by the difficulty of hand-tuning the many mode...
Alan Fern, Robin Hess
CVPR
2005
IEEE
16 years 5 months ago
Discriminative Training for Object Recognition Using Image Patches
We present a method for automatically learning discriminative image patches for the recognition of given object classes. The approach applies discriminative training of log-linear...
Thomas Deselaers, Daniel Keysers, Hermann Ney
ICPR
2008
IEEE
15 years 9 months ago
Frame-skipping tracking for single object with global motion detection
Frame-skipping videos usually appear in wireless video sensor networks which have wirelessly interconnected devices that are able to ubiquitously retrieve video content from the e...
Ming Anlong, Ma Huadong