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» Probabilistic Object Tracking Using Multiple Features
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ICCV
2003
IEEE
14 years 9 months ago
On-Line Selection of Discriminative Tracking Features
This paper presents a method for evaluating multiple feature spaces while tracking, and for adjusting the set of features used to improve tracking performance. Our hypothesis is t...
Robert T. Collins, Yanxi Liu
ECCV
2004
Springer
14 years 1 months ago
Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions
Abstract. In this paper we describe the application of a novel statistical videomodeling scheme to sequences of multiple sclerosis (MS) images taken over time. The analysis of the ...
Allon Shahar, Hayit Greenspan
JMM2
2006
146views more  JMM2 2006»
13 years 7 months ago
Probabilistic Algorithms, Integration, and Empirical Evaluation for Disambiguating Multiple Selections in Frustum-Based Pointing
There are a few fundamental pointing-based user interface techniques for performing selections in 3D environments. One of these techniques is ray pointing, which makes selections b...
Greg S. Schmidt, Dennis G. Brown, Erik B. Tomlin, ...
IJCV
2000
180views more  IJCV 2000»
13 years 7 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
ADBIS
2009
Springer
128views Database» more  ADBIS 2009»
14 years 2 months ago
Detecting Moving Objects in Noisy Radar Data Using a Relational Database
Abstract. In moving object databases, many authors assume that number and position of objects to be processed are always known in advance. Detecting an unknown moving object and pu...
Andreas Behrend, Rainer Manthey, Gereon Schül...