1 February 1997 Three-dimensional camera motion estimation and foreground/background separation for stereoscopic image sequences
Dimitrios Tzovaras, Nikos Grammalidis, Michael G. Strintzis
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This work examines the problem of foreground/background extraction when stereoscopic image information is available. A two-stage algorithm is proposed, followed by postprocessing for the estimation of the global motion in the scene and the identification of moving objects. At the first stage, an estimate of the 2-D global motion in the scene is formed which then serves as an initial estimate for the algorithm for a robust 3-D global motion estimate. The 3-D global motion estimation procedure is interleaved with a procedure for removal of the outlier vectors from the initial set of training vectors. Postprocessing of the foreground/background map produced results in an improved motion detection mask, which may then be used for 3-D motion compensation.
Dimitrios Tzovaras, Nikos Grammalidis, and Michael G. Strintzis "Three-dimensional camera motion estimation and foreground/background separation for stereoscopic image sequences," Optical Engineering 36(2), (1 February 1997). https://doi.org/10.1117/1.601229
Published: 1 February 1997
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Cited by 13 scholarly publications and 16 patents.
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KEYWORDS
Cameras

Motion estimation

Stereoscopic cameras

Motion models

3D modeling

3D image processing

Feature extraction

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