Estimating image motion from smear: a sensor system and extensions

Author

Chen, Wei-ge ; Nandhakumar, N. ; Martin, Worthy N.

Author_Institution

Microsoft Corp., Redmond, WA, USA

Volume

1

fYear

1995

fDate

23-26 Oct 1995

Firstpage

199

Abstract

Image motion estimation usually relies on using interframe displacement as the information cue for motion. Another cue has been proposed, namely motion smear. An algorithm used to compute the image motion from the smear information (“motion-from-smear”) was proposed by Chen, Nandhakumar and Martin (see Proc. IEEE Intern. Conf. Image Proc., vol.III, p.761-765, Austin, Texas, November 1994) where the algorithm was verified with simulated motion smeared images. This paper extends the work of Chen et al. by presenting (1) experimental results on real data, (2) a feasible sensor design and (3) a generalization to space-varying motion

Keywords

array signal processing; image sequences; motion estimation; algorithm; experimental results; image motion estimation; information cue; interframe displacement; motion from smear; motion smear; sensor design; sensor system; simulated motion smeared images; smear information; space-varying motion; Computational modeling; Computer science; Computer vision; Humans; Machine vision; Motion estimation; Pixel; Psychology; Sensor systems; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.529580

Filename

529580