Estimation and segmentation of displacement field using multiple features

We present an approach for estimating and segmenting the displacement field (DF) between two frames. Our method is based on local affine (first-order) approximation of the displacement field which is derived under the assumption of locally rigid motion. Each distinct motion is represented in the ima...

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Bibliographic Details
Main Authors: Sull, S., Ahuja, N.
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Image processing
Image registration
Image segmentation
Motion detection
Motion estimation
NASA
Object detection
Postal services
Tracking
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Summary:We present an approach for estimating and segmenting the displacement field (DF) between two frames. Our method is based on local affine (first-order) approximation of the displacement field which is derived under the assumption of locally rigid motion. Each distinct motion is represented in the image plane by a distinct set of values of affine coefficients. All sets of values supported by the feature locations in two frames are identified by exhaustive coarse-to-fine search. The integrated use of multiple features (points, regions and lines) increases the probability of finding well-supported sets. The sets of coefficients thus obtained are used to describe the DF. Two experimental results with real images are presented to demonstrate the feasibility of our approach.< >
DOI:10.1109/ICIP.1994.413889