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BMVC
2010
13 years 2 months ago
A principled approach to remove false alarms by modelling the context of a face detector
In this article we present a new method to enhance object detection by removing false alarms in a principled way with few parameters. The method models the output of an object cla...
Cosmin Atanasoaei, Chris McCool, Sébastien ...
FGR
2000
IEEE
123views Biometrics» more  FGR 2000»
13 years 9 months ago
A Fast and Accurate Face Detector for Indexation of Face Images
Detecting faces in images with complex backgrounds is a difficult task. Our approach, which obtains state of the art results, is based on a generative neural network model: the C...
Raphaël Feraud, Olivier Bernier, Jean-Emmanue...
NPL
2006
113views more  NPL 2006»
13 years 4 months ago
A Back-propagation Neural Network Landmine Detector Using the Delta-technique and S-statistic
Landmines are a major problem facing the world today; there are millions of these deadly weapons still buried in various countries around the world. Humanitarian organizations dedi...
Taskin Koçak, Matthew Draper
FGR
2011
IEEE
263views Biometrics» more  FGR 2011»
12 years 8 months ago
Exploiting long-term observations for track creation and deletion in online multi-face tracking
— In many visual multi-object tracking applications, the question when to add or remove a target is not trivial due to, for example, erroneous outputs of object detectors or obse...
Stefan Duffner, Jean-Marc Odobez