Multi-stage segmentation of optical flow field

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This paper presents object-based segmentation of optical flow field and its motion estimation method. A major difficulty in estimating general motion is that it requires a large area of support in order to achieve a good estimation. Unfortunately, when the supporting area is large, it is very likely to have multiple moving objects. Thus, object-based segmentation and general motion estimation are interdependent problems. To solve the-problem, we propose a multi-stage segmentation method which groups progressively the flow field into segments according to a hierarchy of motion models. The basic idea is to group uniform subregions with respect to a simple motion model Into uniform regions with respect to a complex model using region growing technique. By the method, we can segment the flow field into several parabolic patches. For head-and-shoulder images, simulation results show that it can segment the flow held into meaningful regions such as head and shoulder.
Publisher
ELSEVIER SCIENCE BV
Issue Date
1996-10
Language
English
Article Type
Article
Keywords

3-DIMENSIONAL MOTION

Citation

SIGNAL PROCESSING, v.54, no.2, pp.109 - 118

ISSN
0165-1684
URI
http://hdl.handle.net/10203/72482
Appears in Collection
EE-Journal Papers(저널논문)
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