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ISMAR
2009
IEEE
16 years 1 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...
ICVS
2009
Springer
16 years 1 months ago
A Fast Joint Bioinspired Algorithm for Optic Flow and Two-Dimensional Disparity Estimation
The faithful detection of the motion and of the distance of the objects in the visual scene is a desirable feature of any artificial vision system designed to operate in unknown e...
Manuela Chessa, Silvio P. Sabatini, Fabio Solari
IEAAIE
2009
Springer
16 years 1 months ago
RFID Technology and AI Techniques for People Location, Orientation and Guiding
One of the main problems that we have to face when visiting public or official buildings (i.e hospitals or public administrations) is the lack of information and signs that can gui...
M. D. R-Moreno, Bonifacio Castaño, Melquiad...
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
16 years 1 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
AVSS
2008
IEEE
16 years 1 months ago
Recognizing Shapes in Video Sequences Using Multi-class Boosting
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
Naresh P. Cuntoor, Matt Welborn