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Proceedings Paper

Image motion detection in a scene captured by a moving camera
Author(s): Nader M. Namazi; William Scharpf; James N. Caron; Michael Fatemi; David M. Huber; Jay Obermark
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Paper Abstract

This paper presents methods for motion detection and estimation of objects in a scene captured by a moving camera. A new iterative algorithm is developed and presented for the correction of geometrical distortion caused by global motion in a scene. A binary hypotheses test is subsequently established to classify the pixels in the corrected image as either locally moving (object motion) or not moving (stationary). The developed method incorporates estimates of additive white Gaussian noise in all steps and is therefore more robust than simple change detection method.

Paper Details

Date Published: 2 September 2009
PDF: 12 pages
Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 744324 (2 September 2009); doi: 10.1117/12.827369
Show Author Affiliations
Nader M. Namazi, The Catholic Univ. of America (United States)
William Scharpf, Naval Research Lab. (United States)
James N. Caron, Research Support Instruments, Inc. (United States)
Michael Fatemi, The Johns Hopkins Univ. Applied Physics Lab. (United States)
David M. Huber, Research Support Instruments, Inc. (United States)
Jay Obermark, DCS Corp. (United States)


Published in SPIE Proceedings Vol. 7443:
Applications of Digital Image Processing XXXII
Andrew G. Tescher, Editor(s)

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