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» Is Bottom-Up Attention Useful for Object Recognition
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MIRRORBOT
2005
Springer
144views Robotics» more  MIRRORBOT 2005»
13 years 10 months ago
Combining Visual Attention, Object Recognition and Associative Information Processing in a NeuroBotic System
We have implemented a neurobiologically plausible system on a robot that integrates visual attention, object recognition, language and action processing using a coherent cortex-lik...
Rebecca Fay, Ulrich Kaufmann, Andreas Knoblauch, H...
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
RAS
2008
156views more  RAS 2008»
13 years 4 months ago
Curious George: An attentive semantic robot
State-of-the-art methods have recently achieved impressive performance for recognising the objects present in large databases of pre-collected images. There has been much less foc...
David Meger, Per-Erik Forssén, Kevin Lai, S...
PAMI
2010
192views more  PAMI 2010»
13 years 3 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
ICMCS
2007
IEEE
208views Multimedia» more  ICMCS 2007»
13 years 9 months ago
A Cognitive and Unsupervised Map Adaptation Approach to the Recognition of the Focus of Attention from Head Pose
In this paper, the recognition of the visual focus of attention (VFOA) of meeting participants (as defined by their eye gaze direction) from their head pose is addressed. To this ...
Jean-Marc Odobez, Sileye O. Ba