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TP.PF: Motion Estimation, Change Detection and Tracking

Session Type: Poster
Time: Tuesday, September 17, 14:20 - 17:10
Location: Poster Area F
Session Chairs: Amit Gupta, Canon Information Systems Research Australia and Arnold Wiliem, University of Queensland
 
Presented 14:20 - 15:20
 
  TP.PF.1: SPATIAL CONSTRAINT HOPFIELD-TYPE NEURAL NETWORKS FOR DETECTING CHANGES IN REMOTELY SENSED MULTITEMPORAL IMAGES
         Badri Narayan Subudhi; Indian Statistical Institute
         Susmita Ghosh; Jadavpur University
         Ashish Ghosh; Indian Statistical Institute
 
  TP.PF.2: FALSE DISCOVERY RATE APPROACH TO IMAGE CHANGE DETECTION
         Vladimir Krylov; University College London
         Gabriele Moser; University of Genoa
         Sebastiano Serpico; University of Genoa
         Josiane Zerubia; INRIA
 
  TP.PF.3: ADAPTIVE VIDEO STABILISATION WITH DOMINANT MOTION LAYER ESTIMATION FOR HOME VIDEO AND TV BROADCAST
         Felix Raimbault; Trinity College Dublin
         Yalcin Incesu; Sony Deutschland GmbH
 
  TP.PF.4: BINOCULAR ESTIMATION OF MOTION: A LEAST-SQUARE SOLUTION USING NORMAL FLOWS
         Tak-Wai Hui; The Chinese University of Hong Kong
         Ronald Chung; The Chinese University of Hong Kong
 
  TP.PF.5: SUPERPIXEL-BASED LARGE DISPLACEMENT OPTICAL FLOW
         Haw-Shiuan Chang; Academia Sinica
         Yu-Chiang Frank Wang; Academia Sinica
 
  TP.PF.6: MULTI-SCALE OBSERVATION MODELS FOR MOTION ESTIMATION
         Pascal Zille; Ecole Centrale Lyon
         Thomas Corpetti; CNRS
         Liang Shao; CNRS
 
  TP.PF.7: JOINT TRILATERAL FILTERING FOR MULTIFRAME OPTICAL FLOW
         Michael Stoll; University of Stuttgart
         Sebastian Volz; University of Stuttgart
         Andrés Bruhn; University of Stuttgart
 
Presented 15:50 - 16:50
 
  TP.PF.8: LOCAL/GLOBAL SCENE FLOW ESTIMATION
         Julian Quiroga; INRIA
         Frederic Devernay; INRIA
         James Crowley; INRIA
 
  TP.PF.9: STATISTICAL SEPARABILITY OF LOCAL MOTIONS IN VOLUMETRIC IMAGES
         Marjan Hadian Jazi; RMIT University
         Alireza Bab-Hadiashar; RMIT University
         Reza Hoseinnezhad; RMIT University
 
  TP.PF.10: DENSE MOTION ESTIMATION BETWEEN DISTANT FRAMES: COMBINATORIAL MULTI-STEP INTEGRATION AND STATISTICAL SELECTION
         Pierre-Henri Conze; Technicolor
         Tomas Crivelli; Technicolor
         Philippe Robert; Technicolor
         Luce Morin; INSA Rennes
 
  TP.PF.11: MODEL-BASED OPTICAL FLOW FOR LARGE DISPLACEMENTS AND HOMOGENEOUS REGIONS
         Qiong Nie; University Paris XI
         Samia Bouchafa; University of Evry Val d'Essonne
         Alain Merigot; University Paris XI
 
  TP.PF.12: A NOVEL METHOD FOR OBJECT TRACKING AND SEGMENTATION USING ONLINE HOUGH FORESTS AND CONVEX RELAXATION
         Zhengjian Kang; Polytechnic Institute of New York University
         Edward Wong; Polytechnic Institute of New York University
 
  TP.PF.13: AN ON-LINE VISUAL HUMAN TRACKING ALGORITHM USING SURF-BASED DYNAMIC OBJECT MODEL
         Meenakshi Gupta; Indian Institute of Technology Kanpur
         Sourav Garg; Tata Consultancy Services
         Swagat Kumar; Tata Consultancy Services
         Laxmidhar Behera; Indian Institute of Technology Kanpur
 
  TP.PF.14: TOTAL BREGMAN DIVERGENCE FOR MULTIPLE OBJECT TRACKING
         Andres Romero Mier y Terán; Paris Sud University
         Michèle Gouiffès; Paris Sud University
         Lionel Lacassagne; Paris Sud University
 
 
End-of-Session Forum (all presenters available for discussion) 16:50 - 17:10