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PAMI
2006
229views more  PAMI 2006»
13 years 7 months ago
A Coherent Computational Approach to Model Bottom-Up Visual Attention
Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
MICCAI
2009
Springer
14 years 8 months ago
Fast and Robust 3-D MRI Brain Structure Segmentation
We present a novel method for the automatic detection and segmentation of (sub-)cortical gray matter structures in 3-D magnetic resonance images of the human brain. Essentially, th...
Michael Wels, Yefeng Zheng, Gustavo Carneiro, M...
ICDAR
2009
IEEE
14 years 2 months ago
Information Extraction from Multimodal ECG Documents
With the rise of tools for clinical decision support, there is an increased need for automatic processing of electrocardiograms (ECG) documents. In fact, many systems have already...
Fei Wang, Tanveer Fathima Syeda-Mahmood, David Bey...

Publication
285views
13 years 1 months ago
Guiding Visual Surveillance by Tracking Human Attention
We describe a novel method for directing the attention of an automated surveillance system. Our starting premise is that the attention of people in a scene can be used as an indica...
Ben Benfold and Ian Reid
AVSS
2007
IEEE
13 years 7 months ago
People tracking across two distant self-calibrated cameras
People tracking is of fundamental importance in multicamera surveillance systems. In recent years, many approaches for multi-camera tracking have been discussed. Most methods use ...
Roman P. Pflugfelder, Horst Bischof