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» Motion Detection using a Model of Visual Attention
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CRV
2004
IEEE
159views Robotics» more  CRV 2004»
13 years 8 months ago
Attending to Visual Motion: Localizing and Classifying Affine Motion Patterns
The Selective Tuning Model is a proposal for modelling visual attention in primates and humans. This paper describes ongoing research to include attention to motion stimuli within ...
John K. Tsotsos, Marc Pomplun, Julio C. Martinez-T...
PRL
2006
117views more  PRL 2006»
13 years 4 months ago
Motion features to enhance scene segmentation in active visual attention
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
María T. López, Antonio Ferná...
ICMCS
2005
IEEE
340views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Adaptive local context suppression of multiple cues for salient visual attention detection
Visual attention is obtained through determination of contrasts of low level features or attention cues like intensity, color etc. We propose a new texture attention cue that is s...
Yiqun Hu, Deepu Rajan, Liang-Tien Chia
ICASSP
2011
IEEE
12 years 8 months ago
A visual attention model combining top-down and bottom-up mechanisms for salient object detection
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
Yuming Fang, Weisi Lin, Chiew Tong Lau, Bu-Sung Le...
ICIP
2003
IEEE
14 years 6 months ago
Top-down control of visual attention in object detection
Current computational models of visual attention focus on bottom-up information and ignore scene context. However, studies in visual cognition show that humans use context to faci...
Aude Oliva, Antonio B. Torralba, Monica S. Castelh...