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ICPR
2008
IEEE
14 years 3 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
ICMCS
2005
IEEE
193views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Segmenting Layers in Automated Visual Surveillance
Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Those objects can either be moving or stationary. However,...
Lijuan Qin, Yueting Zhuang, Yunhe Pan, Fei Wu
IBPRIA
2005
Springer
14 years 2 months ago
A Real-Time Driver Visual Attention Monitoring System
Abstract. This paper describes a framework for analyzing video sequences of a driver and determining his level of attention. The proposed system deals with the computation of eyeli...
Jorge Batista
ICIAP
2007
ACM
14 years 3 months ago
Image Spam Filtering Using Visual Information
We address the problem of recognizing the so-called image spam, which consists in embedding the spam message into attached images to defeat techniques based on the analysis of e-m...
Battista Biggio, Giorgio Fumera, Ignazio Pillai, F...
IJCV
2000
162views more  IJCV 2000»
13 years 8 months ago
Visual Surveillance for Moving Vehicles
An overview is given of a novel vision system for locating, recognising and tracking multiple vehicles, using a single monocular camera mounted on a moving vehicle1 . 3D model-bas...
James M. Ferryman, Stephen J. Maybank, Anthony D. ...