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» Predicting human gaze using low-level saliency combined with...
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CVPR
2012
IEEE
11 years 10 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji
IJCV
2007
195views more  IJCV 2007»
13 years 7 months ago
Pre-Attentive and Attentive Detection of Humans in Wide-Field Scenes
We address the problem of localizing and obtaining high-resolution footage of the people present in a scene. We propose a biologically-inspired solution combining pre-attentive, lo...
James H. Elder, Simon J. D. Prince, Yuqian Hou, Mi...
SCIA
2007
Springer
241views Image Analysis» more  SCIA 2007»
14 years 1 months ago
Face Detection Using Multiple Cues
Many potential applications exist where a fast and robust detection of human faces is required. Different cues can be used for this purpose. Since each cue has its own pros and co...
Thomas B. Moeslund, Jess S. Petersen, Lasse D. Ska...
CVPR
2006
IEEE
14 years 9 months ago
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
Vidhya Navalpakkam, Laurent Itti
MM
1999
ACM
176views Multimedia» more  MM 1999»
13 years 12 months ago
Modeling focus of attention for meeting indexing
—A user’s focus of attention plays an important role in human–computer interaction applications, such as a ubiquitous computing environment and intelligent space, where the u...
Rainer Stiefelhagen, Jie Yang, Alex Waibel