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The paper presents a fuzzy chamfer distance and its probabilistic formulation for edge-based visual tracking. First, connections of the chamfer distance and the Hausdorff distance with fuzzy objective functions for clustering are shown using a reformulation theorem. A fuzzy chamfer distance (FCD) based on fuzzy objective functions and a probabilistic formulation of the fuzzy chamfer distance (PFCD) based on data association methods are then presented for tracking, which can all be regarded as reformulated fuzzy objective functions and minimized with iterative algorithms. Results on challenging sequences demonstrate the performance of the proposed tracking method.
Published in:
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Date of Conference: 23-28 June 2008
- Page(s):
- 1 - 8
- ISSN :
- 1063-6919
- E-ISBN :
- 978-1-4244-2243-2
- Print ISBN:
- 978-1-4244-2242-5
- INSPEC Accession Number:
- 10139875
- Conference Location :
- Anchorage, AK
- Digital Object Identifier :
- 10.1109/CVPR.2008.4587570
- Product Type:
- Conference Publications
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