Paper
1 October 1998 Adaptive multistage 2D image motion field estimation
Ulrich Neumann, Suya You
Author Affiliations +
Abstract
This paper addresses the problem of robust 2D image motion estimation in natural environments. We develop an adaptive tracking-region selection and optical-flow estimation technique. The strategy of adaptive region selection locates reliable tracking regions and makes their motion estimation more reliable and computationally efficient. The multi-stage estimation procedure makes it possible to discriminate between good and poor estimation areas, which maximizes the quality of the final motion estimation. Furthermore, the model fitting stage further reduces the estimation error and provides a more compact and flexible motion field representation that is better suited for high-level vision processing. We demonstrate the performance of our techniques on both synthetic and natural image sequences.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ulrich Neumann and Suya You "Adaptive multistage 2D image motion field estimation", Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); https://doi.org/10.1117/12.323164
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Motion estimation

Motion models

Optical flow

Error analysis

Image analysis

Cameras

Affine motion model

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