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CVPR
2001
IEEE
14 years 7 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
ICCV
2009
IEEE
14 years 10 months ago
Is a detector only good for detection?
A common design of an object recognition system has two steps, a detection step followed by a foreground withinclass classification step. For example, consider face detection by...
Quan Yuan and Stan Sclaroff
CVPR
2007
IEEE
14 years 7 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan
ICIP
2001
IEEE
14 years 7 months ago
Use of neural networks for behaviour understanding in railway transport monitoring applications
In the last years, the interest for advanced video-based surveillance applications is more and more growing. This is especially true in the field of railway urban transport where ...
Claudio Sacchi, Carlo S. Regazzoni, Gianluca Gera,...
MIR
2004
ACM
101views Multimedia» more  MIR 2004»
13 years 11 months ago
Leveraging face recognition technology to find and organize photos
With digital still cameras, users can easily collect thousands of photos. We have created a photo management application with the goal of making photo organization and browsing si...
Andreas Girgensohn, John Adcock, Lynn Wilcox