Image motion detection in a scene captured by a moving camera

Nader M. Namazi; William Scharpf; James N. Caron; Michael Fatemi; David M. Huber; Jay Obermark

doi:10.1117/12.827369

2 September 2009 Image motion detection in a scene captured by a moving camera

Nader M. Namazi, William Scharpf, James N. Caron, Michael Fatemi, David M. Huber, Jay Obermark

Proceedings Volume 7443, Applications of Digital Image Processing XXXII; 744324 (2009) https://doi.org/10.1117/12.827369
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

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.

Citation Download Citation

Nader M. Namazi, William Scharpf, James N. Caron, Michael Fatemi, David M. Huber, and Jay Obermark "Image motion detection in a scene captured by a moving camera", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 744324 (2 September 2009); https://doi.org/10.1117/12.827369

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