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ISMAR
2009
IEEE
15 years 10 months ago
A setup for evaluating detectors and descriptors for visual tracking
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
Steffen Gauglitz, Tobias Höllerer, Petra Krah...
DASFAA
2007
IEEE
208views Database» more  DASFAA 2007»
15 years 9 months ago
Probabilistic Nearest-Neighbor Query on Uncertain Objects
Nearest-neighbor queries are an important query type for commonly used feature databases. In many different application areas, e.g. sensor databases, location based services or fac...
Hans-Peter Kriegel, Peter Kunath, Matthias Renz
130
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ICIP
2010
IEEE
15 years 1 months ago
Distributed classification of multiple observations by consensus
We consider the problem of distributed classification of multiple observations of the same object that are collected in an ad-hoc network of vision sensors. Assuming that each sen...
Effrosini Kokiopoulou, Pascal Frossard
256
Voted
CRV
2011
IEEE
337views Robotics» more  CRV 2011»
14 years 3 months ago
Object Detection Using Principal Contour Fragments
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...
Changhai Xu, Benjamin Kuipers
ICCV
2003
IEEE
16 years 5 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...