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» Combined visual attention model for video sequences
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ICIP
2007
IEEE
14 years 2 months ago
Motion Detection using a Model of Visual Attention
Motion detection and estimation are known to be important in many automated surveillance systems. It has drawn significant research interest in the field of computer vision. This ...
Shijie Zhang, Fred Stentiford
ICIP
2005
IEEE
14 years 10 months ago
Spatio-temporal attention model for video content analysis
This paper presents a new model of human attention that allows salient areas to be extracted from video frames. As automatic understanding of video semantic content is still far fr...
Mickael Guironnet, Nathalie Guyader, Denis Pelleri...
CISS
2011
IEEE
13 years 4 days ago
Hardware accelerated visual attention algorithm
— We present a hardware-accelerated implementation of a bottom-up visual attention algorithm. This algorithm generates a multi-scale saliency map from differences in image intens...
Polina Akselrod, Faye Zhao, Ifigeneia Derekli, Cl&...
TIP
2008
344views more  TIP 2008»
13 years 8 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
AAAI
2012
11 years 11 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti