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CVPR
2005
IEEE
15 years 9 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
MVA
1990
170views Computer Vision» more  MVA 1990»
15 years 5 months ago
Automatic Fire Detection by Changing Region Analysis Based on Geographic Information
This paper proposes a new method for automatic fire detection in cities using image processing techniques. Images are obtained successively at regular intervals from monochrome TV...
Hideo Numagami, Akio Okazaki
FGR
2002
IEEE
228views Biometrics» more  FGR 2002»
15 years 8 months ago
Real-Time Tracking of Multiple Fingertips and Gesture Recognition for Augmented Desk Interface Systems
In this paper, we propose a fast and robust method for tracking a user’s hand and multiple fingertips; we then demonstrate gesture recognition based on measured fingertip traj...
Kenji Oka, Yoichi Sato, Hideki Koike
216
Voted
CVPR
2001
IEEE
16 years 5 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones
EAAI
2008
257views more  EAAI 2008»
15 years 3 months ago
Recognition of facial expressions using Gabor wavelets and learning vector quantization
Facial expression recognition has potential applications in different aspects of day-to-day life not yet realized due to absence of effective expression recognition techniques. Th...
Shishir Bashyal, Ganesh K. Venayagamoorthy