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Author Mikhail Mozerov; Ariel Amato; Xavier Roca; Jordi Gonzalez edit  openurl
  Title Trajectory Occlusion Handling with Multiple View Distance Minimisation Clustering Type (up) Journal
  Year 2008 Publication Optical Engineering, vol. 47(04)04702, DOI:10.11781.2909665 Abbreviated Journal  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ MAR2008c Serial 970  
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Author Ignasi Rius; Jordi Gonzalez; Mikhail Mozerov; Xavier Roca edit  openurl
  Title Automatic Learning of 3D Pose Variability in Walking Performances for Gait Analysis Type (up) Journal
  Year 2008 Publication International Journal for Computational Vision and Biomechanics Abbreviated Journal  
  Volume 1 Issue 1 Pages 33–43  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ RGM2008 Serial 1020  
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Author Carles Fernandez; Xavier Roca; Jordi Gonzalez edit  openurl
  Title Providing Automatic Multilingual Text Generation to Artificial Cognitive Systems Type (up) Journal
  Year 2008 Publication Abbreviated Journal  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ FRG2008 Serial 1021  
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Author Mikhail Mozerov; Ariel Amato; Xavier Roca; Jordi Gonzalez edit  doi
openurl 
  Title Solving the Multi Object Occlusion Problem in a Multiple Camera Tracking System Type (up) Journal
  Year 2009 Publication Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume 19 Issue 1 Pages 165-171  
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  Abstract An efficient method to overcome adverse effects of occlusion upon object tracking is presented. The method is based on matching paths of objects in time and solves a complex occlusion-caused problem of merging separate segments of the same path.  
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  ISSN 1054-6618 ISBN Medium  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ MAR2009a Serial 1160  
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Author Zeynep Yucel; Albert Ali Salah; Çetin Meriçli; Tekin Meriçli; Roberto Valenti; Theo Gevers edit  doi
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  Title Joint Attention by Gaze Interpolation and Saliency Type (up) Journal
  Year 2013 Publication IEEE Transactions on cybernetics Abbreviated Journal T-CIBER  
  Volume 43 Issue 3 Pages 829-842  
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  Abstract Joint attention, which is the ability of coordination of a common point of reference with the communicating party, emerges as a key factor in various interaction scenarios. This paper presents an image-based method for establishing joint attention between an experimenter and a robot. The precise analysis of the experimenter's eye region requires stability and high-resolution image acquisition, which is not always available. We investigate regression-based interpolation of the gaze direction from the head pose of the experimenter, which is easier to track. Gaussian process regression and neural networks are contrasted to interpolate the gaze direction. Then, we combine gaze interpolation with image-based saliency to improve the target point estimates and test three different saliency schemes. We demonstrate the proposed method on a human-robot interaction scenario. Cross-subject evaluations, as well as experiments under adverse conditions (such as dimmed or artificial illumination or motion blur), show that our method generalizes well and achieves rapid gaze estimation for establishing joint attention.  
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  ISSN 2168-2267 ISBN Medium  
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  Notes ALTRES;ISE Approved no  
  Call Number Admin @ si @ YSM2013 Serial 2363  
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