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Visual Contour Tracking

High level vision tasks, such as recognition, understanding, etc., require tracking of the enclosing contour of objects. In general, objects undergo non-rigid deformations, which limit the applicability of using motion models that impose rigidity constraints on the objects. The papers below introduce contour tracking algorithms.

Publications

  1. N. Gard and A. Yilmaz. April 2019. A Spacetime Model for One-shot Active Contour Extraction Scheme for Human Detection in Image Sequences. Elsevier Journal of Applied Mathematics and Computation 
  2. A. Yilmaz. 2009. Active Contours: Snakes. In Wiley Encyclopedia of Computer Science and Engineering. Vol. 1. Edited by Benjamin W. Wah. New Jersey: John Wiley & Sons. 11-13. ISBN: 978-0-471-38393-2
  3. A. Yilmaz. 2009. Level Set Methods. In Wiley Encyclopedia of Computer Science and Engineering. Vol. 3. Edited by Benjamin W. Wah. New Jersey: John Wiley & Sons. 1731-1734. ISBN: 978-0-471-38393-2
  4. A. Yilmaz. 2009. Contour Tracking. In Wiley Encyclopedia of Computer Science and Engineering. Vol. 1. Edited by Benjamin W. Wah. New Jersey: John Wiley and Sons. 668-672. ISBN: 978-0-471-38393-2
  5. A. Yilmaz, X. Li and M. Shah. 2004. Contour Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras.  IEEE Trans. on Pattern Analysis and Machine Intelligence. Vol. 26, no. 11: 1531-1536. ISSN 0162-8828
  6. Yilmaz, X. Li and M. Shah. 01/2004. Object Contour Tracking Using Level Sets. In: Asian Conf. on Computer Vision (ACCV). Jeju, Korea. pp. 1-5

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