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PAMI
2012
13 years 9 months ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
ECCV
2004
Springer
16 years 8 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
ROBOCUP
2004
Springer
288views Robotics» more  ROBOCUP 2004»
15 years 12 months ago
Motion Detection and Tracking for an AIBO Robot Using Camera Motion Compensation and Kalman Filtering
Motion detection and tracking while moving is a desired ability for any soccer player. For instance, this ability allows the determination of the ball trajectory when the player is...
Javier Ruiz-del-Solar, Paul A. Vallejos
EC
2008
164views ECommerce» more  EC 2008»
15 years 6 months ago
Tracking Moving Optima Using Kalman-Based Predictions
The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness l...
Claudio Rossi, Mohamed Abderrahim, Julio Cé...
CVPR
2006
IEEE
16 years 8 months ago
Tunable Kernels for Tracking
We present a tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking. The cl...
Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghla...