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» A Neural Architecture for Fast and Robust Face Detection
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ICIP
2002
IEEE
14 years 7 months ago
Hybrid and parallel face classifier based on artificial neural networks and principal component analysis
We present a hybrid and parallel system based on artificial neural networks for a face invariant classifier and general pattern recognition problems. A set of face features is ext...
Peter V. Bazanov, Tae-Kyun Kim, Seok-Cheol Kee, Sa...
MIRRORBOT
2005
Springer
139views Robotics» more  MIRRORBOT 2005»
13 years 11 months ago
Neural Robot Detection in RoboCup
Abstract. Improving the game play in RoboCup middle size league requires a fast and robust visual robot detection system. The presented multilevel approach documents, that the comb...
Gerd Mayer, Ulrich Kaufmann, Gerhard K. Kraetzschm...
SCIA
2007
Springer
241views Image Analysis» more  SCIA 2007»
14 years 11 days ago
Face Detection Using Multiple Cues
Many potential applications exist where a fast and robust detection of human faces is required. Different cues can be used for this purpose. Since each cue has its own pros and co...
Thomas B. Moeslund, Jess S. Petersen, Lasse D. Ska...
CVPR
2004
IEEE
14 years 8 months ago
Automatic Cascade Training with Perturbation Bias
Face detection methods based on a cascade architecture have demonstrated fast and robust performance. Cascade learning is aided by the modularity of the architecture in which node...
Jie Sun, James M. Rehg, Aaron F. Bobick
CVPR
2007
IEEE
14 years 8 months ago
Capturing People in Surveillance Video
This paper presents reliable techniques for detecting, tracking, and storing keyframes of people in surveillance video. The first component of our system is a novel face detector ...
Rogerio Feris, Ying-li Tian, Arun Hampapur