• About
  • Policies
  • What is openaccess
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      2-D triangular mesh-based mosaicking for object tracking in the presence of occlusion

      Thumbnail
      View / Download
      1001.6 Kb
      Author
      Toklu, C.
      Tekalp, A. M.
      Erdem, A. Tanju
      Date
      1997
      Source Title
      Proceedings of SPIE Vol. 3024, Visual Communications and Image Processing'97
      Print ISSN
      0277-786X
      Publisher
      SPIE
      Volume
      3024
      Pages
      328 - 337
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      144
      views
      316
      downloads
      Abstract
      In this paper, we describe a method for temporal tracking of video objects in video clips. We employ a 2D triangular mesh to represent each video object, which allows us to describe the motion of the object by the displacements of the node points of the mesh, and to describe any intensity variations by the contrast and brightness parameters estimated for each node point. Using the temporal history of the node point locations, we continue tracking the nodes of the 2D mesh even when they become invisible because of self-occlusion or occlusion by another object. Uncovered parts of the object in the subsequent frames of the sequence are detected by means of an active contour which contains a novel shape preserving energy term. The proposed shape preserving energy term is found to be successful in tracking the boundary of an object in video sequences with complex backgrounds. By adding new nodes or updating the 2D triangular mesh we incrementally append the uncovered parts of the object detected during the tracking process to the one of the objects to generate a static mosaic of the object. Also, by texture mapping the covered pixels into the current frame of the video clip we can generate a dynamic mosaic of the object. The proposed mosaicing technique is more general than those reported in the literature because it allows for local motion and out-of-plane rotations of the object that results in self-occlusions. Experimental results demonstrate the successful tracking of the objects with deformable boundaries in the presence of occlusion.
      Keywords
      Communication
      Digital image storage
      Image communication systems
      Image processing
      Imaging systems
      Motion estimation
      Video cameras
      Video recording
      Visual communication
      Active contours
      Complex backgrounds
      Current frames
      Deformable boundaries
      Intensity variations
      Local motions
      Permalink
      http://hdl.handle.net/11693/27700
      Published Version (Please cite this version)
      http://dx.doi.org/10.1117/12.263245
      Collections
      • Department of Electrical and Electronics Engineering 3524
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 1771
      Copyright © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy