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» Boosting Object Detection Using Feature Selection
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CVPR
2007
IEEE
16 years 4 months ago
Joint Optimization of Cascaded Classifiers for Computer Aided Detection
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Murat Dundar, Jinbo Bi
CVPR
2012
IEEE
13 years 4 months ago
Using scene features to improve wide-area video surveillance
We introduce two novel methods to improve the performance of wide area video surveillance applications by using scene features. First, we evaluate the drift in intrinsic and extri...
Ziyan Wu, Richard J. Radke
153
Voted
ICIP
2009
IEEE
15 years 3 days ago
Generative model for abandoned object detection
This paper proposes an algorithm for abandoned object detection based on generative model of low level features. First, suspected blobs are detected by foreground detection and pi...
Jianting Wen, Haifeng Gong, Xia Zhang, Wenze Hu
122
Voted
ICPR
2008
IEEE
15 years 8 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen
FGR
2000
IEEE
131views Biometrics» more  FGR 2000»
15 years 6 months ago
Robust Facial Feature Localization by Coupled Features
In this paper, we consider the problem of robust localization of faces and some of their facial features. The task arises e.g. in the medical field of visual analysis of facial p...
Matthias Zobel, Arnd Gebhard, Dietrich Paulus, Joa...