This paper presents a new approach to detect moving objects affected by motion blur. The direction and the length of the blur reflect the original motion of the object during a time of picture's acquiring by the camera (shutter speed). The analysis of image in the spectrum domain using Discrete Cosign or Fourier Transforms allows detecting of the motion blur's direction and speed from the image. However, such techniques do not work when there are a few objects on the image with different blur or complex background. The proposed method of local motion bluer detection, based on image partitioning, allows locating only of the regions affected by the motion blur and, therefore, measuring the motion parameters of multiple objects.

Detection and Parameters Estimation of Locally Motion Blurred Objects

Lamonaca F
2011

Abstract

This paper presents a new approach to detect moving objects affected by motion blur. The direction and the length of the blur reflect the original motion of the object during a time of picture's acquiring by the camera (shutter speed). The analysis of image in the spectrum domain using Discrete Cosign or Fourier Transforms allows detecting of the motion blur's direction and speed from the image. However, such techniques do not work when there are a few objects on the image with different blur or complex background. The proposed method of local motion bluer detection, based on image partitioning, allows locating only of the regions affected by the motion blur and, therefore, measuring the motion parameters of multiple objects.
9781457714238
measurement
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11770/314644
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