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» Components for Object Detection and Identification
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ICPR
2000
IEEE
15 years 10 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»
15 years 6 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
15 years 11 months 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
16 years 23 days 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
15 years 7 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, ...