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» Motion Detection using a Model of Visual Attention
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FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
15 years 8 months ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong
IJCAI
2007
15 years 6 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
CRV
2007
IEEE
116views Robotics» more  CRV 2007»
15 years 11 months ago
A non-myopic approach to visual search
We show how a greedy approach to visual search — i.e., directly moving to the most likely location of the target — can be suboptimal, if the target object is hard to detect. I...
Julia Vogel, Kevin Murphy
171
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CVPR
2011
IEEE
15 years 1 months ago
Saliency Estimation Using a Non-Parametric Low-Level Vision Model
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to constru...
Naila Murray, Maria Vanrell, Xavier Otazu, C. Alej...
CVPR
2010
IEEE
15 years 5 months ago
Player Localization Using Multiple Static Cameras for Sports Visualization
We present a novel approach for robust localization of multiple people observed using multiple cameras. We use this location information to generate sports visualizations, which i...
Raffay Hamid, Ramkrishan Kumar, Matthias Grundmann...