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FGR
2004
IEEE
231views Biometrics» more  FGR 2004»
13 years 11 months ago
A Boosted Classifier Tree for Hand Shape Detection
The ability to detect a persons unconstrained hand in a natural video sequence has applications in sign language, gesture recognition and HCI. This paper presents a novel, unsuper...
Eng-Jon Ong, Richard Bowden
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 1 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
ICIP
2003
IEEE
14 years 29 days ago
Effective detection and elimination of impulsive noise with a minimal image smoothing
Impulsive noise filtering is an important problem of image processing. The problem of noise elimination in an image has a companion problem, the problem of maximal preservation of...
Igor N. Aizenberg, Jaakko Astola, Constantine Buta...
MVA
2010
181views Computer Vision» more  MVA 2010»
13 years 6 months ago
Human action detection via boosted local motion histograms
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...
Qingshan Luo, Xiaodong Kong, Guihua Zeng, Jianping...