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» Components for Object Detection and Identification
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ICPR
2000
IEEE
13 years 11 months ago
A Bayesian Approach to Object Identification in Pattern Recognition
We present a new Bayesian approach to object identification: variants. By object identification we mean the detection of the member (regular variant) of a given statistical popula...
Gunter Ritter, María Teresa Gallegos
AUTOMATICA
2006
109views more  AUTOMATICA 2006»
13 years 7 months ago
Closed-loop subspace identification using the parity space
It is known that many subspace algorithms give biased estimates for closed-loop data due to the existence of feedback. In this paper we present a new subspace identification metho...
Jin Wang, S. Joe Qin
IWCM
2004
Springer
14 years 23 days ago
Tracking Complex Objects Using Graphical Object Models
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
ICASSP
2008
IEEE
14 years 1 months ago
Target detection and identification using canonical correlation analysis and subspace partitioning
We present a data-driven approach for target detection and identification based on a linear mixture model. Our aim is to determine the existence of certain targets in a mixture w...
Wei Wang 0018, Tülay Adali, Darren Emge
BCSHCI
2009
13 years 8 months ago
A vision-based system for display interaction
This paper presents a system for interaction with a display via hand pointing, where a single CCD camera on top of the screen is directed towards the viewers. An attention mechani...
Björn Stenger, Thomas Woodley, Tae-Kyun Kim, ...