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» On error bound estimation for motion prediction
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ICIP
2002
IEEE
15 years 4 months ago
Segmentation-based object tracking using image warping and Kalman filtering
We propose a segmentation-based method of object tracking using image warping and Kalman filtering. The object region is defined to include a group of patches, which are obtained ...
Yu Huang, Thomas S. Huang, Heinrich Niemann
MVA
1996
164views Computer Vision» more  MVA 1996»
15 years 29 days ago
3D Data Driven Prediction for Active Contour Models with Application to Car Tracking
In this paper we apply a new data driven 3D prediction step for active contour models to car tracking on highways. The so called 3D bounding volume (BV) is a coarse 3D representat...
Joachim Denzler, Heinrich Niemann
89
Voted
CSDA
2008
94views more  CSDA 2008»
14 years 11 months ago
Robust model selection using fast and robust bootstrap
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
Matias Salibian-Barrera, Stefan Van Aelst
CODES
2006
IEEE
15 years 5 months ago
A run-time, feedback-based energy estimation model For embedded devices
We present an adaptive, feedback-based, energy estimation model for battery-powered embedded devices such as sensor network gateways and hand-held computers. Our technique maps ha...
Selim Gurun, Chandra Krintz
MICCAI
2005
Springer
16 years 16 days ago
Inter-frame Motion Correction for MR Thermometry
Noninvasive temperature measurement is feasible with MRI to monitor changes in thermal therapy. Phase shift based MR thermometry gives an estimate of the relative temperature varia...
S. Suprijanto, M. W. Vogel, Frans Vos, Henri A. Vr...