A tensor-driven active contour model for moving object segmentation

Kühne, Gerald ; Weickert, Joachim ; Schuster, Oliver ; Richter, Stephan

URL: http://dx.doi.org/10.1109/ICIP.2001.958427
Document Type: Conference or workshop publication
Year of publication: 2001
Book title: Proceedings / 2001 International Conference on Image Processing, ICIP : 7-10 October 2001, Makedonia Palace Hotel, Thessaloniki, Greece
The title of a journal, publication series: Proceedings of IEEE International Conference on Image Processing (ICIP)
Volume: 2
Page range: 73-76
Place of publication: Piscataway, NJ
Publishing house: IEEE Operations Center
ISBN: 0-7803-6725-1
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg 1989-2017)
Subject: 004 Computer science, internet
Abstract: In this paper we propose an approach to the segmentation of video objects based on motion cues. Motion analysis is performed by estimating local orientations in the spatio-temporal domain using the three-dimensional structure tensor. These estimates are integrated as an external force into an active contour model, thus stopping the evolving curve when it reaches the moving object's boundary. To enable simultaneous detection of several objects, we reformulate the tensor-based active contour model using the level-set technique. In addition, a contour refinement technique has been developed to better approximate the real boundary of the moving object. We provide promising experimental results calculated on real-world video sequences widely used within the computer vision community.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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