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» Online Selection of Tracking Features using AdaBoost
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ICCV
2011
IEEE
14 years 4 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
ICRA
2008
IEEE
131views Robotics» more  ICRA 2008»
15 years 10 months ago
Person tracking on a mobile robot with heterogeneous inter-characteristic feedback
— For a mobile robot that interacts with humans such as a home assistant or a tour guide robot, tracking a particular person among multiple persons is a fundamental, yet challeng...
Juhyun Lee, Peter Stone
MVA
2000
208views Computer Vision» more  MVA 2000»
15 years 3 months ago
Real-time multiple vehicle detection and tracking from a moving vehicle
A real-time vision system has been developed that analyzes color videos taken from a forward-looking video camera in a car driving on a highway. The system uses a combination of co...
Margrit Betke, Esin Haritaoglu, Larry S. Davis
ICANN
2005
Springer
15 years 9 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
APGV
2005
ACM
132views Visualization» more  APGV 2005»
15 years 9 months ago
De-emphasis of distracting image regions using texture power maps
We present a post-processing technique that selectively reduces the salience of distracting regions in an image. Computational models of attention predict that texture variation i...
Sara L. Su, Frédo Durand, Maneesh Agrawala