Estimation of Motion Blurred Direction for Video Monitor Image

doi:10.23940/ijpe.20.08.p12.12541261

Abstract

Abstract: Motion target detection plays an important role in object tracking and traffic monitoring fields. To improve the estimation accuracy of motion direction and thereby increase restoration resolution, research of blurred image spectrum analysis, blurred direction detection, and interference suppression was conducted. Firstly, the interference of bright cross in the spectrum caused by the edge truncation effect was eliminated through by partitioning the spectrum image. Then, the diagonal interference was reduced by normalized Radon transform. Finally, to improve the estimation accuracy of the blurred direction of any ration image, the factor aspect ratio was used to modify the relation between the tilt angle of the dark stripe and the motion direction angle. The experiment demonstrates that this algorithm can effectively avoid interference peaks appearing in the 0°, 90°, and 45° (135°) directions of the blurred direction estimation curve, and it can also accurately estimate the blurred direction in the non-diagonal with an error of about 4°-6°. Overall, this algorithm can suppress the interferences of bright cross and diagonal effectively and can be applied to any aspect ratio.

Key words: video monitor, motion blur, blurred direction, normalized radon transform

Beiyi Wang, Xiaohong Zhang, Haibin Wu, Qi Wang, and Lijuan Hu. Estimation of Motion Blurred Direction for Video Monitor Image [J]. Int J Performability Eng, 2020, 16(8): 1254-1261.

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