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106
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TIP
2008
124views more  TIP 2008»
15 years 12 days ago
GAFFE: A Gaze-Attentive Fixation Finding Engine
Abstract-- The ability to automatically detect visually interesting regions in images has many practical applications, especially in the design of active machine vision and automat...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
105
Voted
ISVC
2010
Springer
14 years 11 months ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis
91
Voted
ICIP
2009
IEEE
14 years 10 months ago
An attention model for extracting components that merit identification
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
Mohammad Jahangiri, Maria Petrou
94
Voted
CVPR
2007
IEEE
16 years 2 months ago
Spatial selection for attentional visual tracking
Long-duration tracking of general targets is quite challenging for computer vision, because in practice target may undergo large uncertainties in its visual appearance and the unc...
Ming Yang, Junsong Yuan, Ying Wu
113
Voted
COGCOM
2010
107views more  COGCOM 2010»
14 years 10 months ago
Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention
To decide ``Where to look next ?'' is a central function of the attention system of humans, animals and robots. Control of attention depends on three factors, that is, lo...
Marco Wischnewski, Anna Belardinelli, Werner X. Sc...