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» Probabilistic Object Tracking Using Multiple Features
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ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
14 years 3 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
ICPR
2004
IEEE
14 years 10 months ago
Object Class Recognition using Images of Abstract Regions
lass Recognition using Images of Abstract Regions Yi Li, Jeff A. Bilmes, and Linda G. Shapiro Department of Computer Science and Engineering Department of Electrical Engineering Un...
Jeff A. Bilmes, Linda G. Shapiro, Yi Li
ICCV
2009
IEEE
15 years 2 months ago
Video Scene Understanding Using Multi-scale Analysis
We propose a novel method for automatically discover-ing key motion patterns happening in a scene by observing the scene for an extended period. Our method does not rely on object ...
Yang Yang, Jingen Liu, Mubarak Shah
CVIU
2010
104views more  CVIU 2010»
13 years 9 months ago
Pose estimation from multiple cameras based on Sylvester's equation
In this paper, we introduce a method to estimate the object's pose from multiple cameras. We focus on direct estimation of the 3D object pose from 2D image sequences. Scale-I...
Chong Chen, Dan Schonfeld
AVSS
2007
IEEE
13 years 9 months ago
People tracking across two distant self-calibrated cameras
People tracking is of fundamental importance in multicamera surveillance systems. In recent years, many approaches for multi-camera tracking have been discussed. Most methods use ...
Roman P. Pflugfelder, Horst Bischof