Optical flow estimation using the Fisher-Rao metric

Maybank, Stephen and Ieng, S.-H. and Migliore, D. and Benosman, R. (2021) Optical flow estimation using the Fisher-Rao metric. Neuromorphic Computing and Engineering 1 (024004), ISSN 2634-4386.

Abstract

The optical flow in an event camera is estimated using measurements in the Address Event Representation (AER). Each measurement consists of a pixel address and the time at which a change in the pixel value equalled a given fixed threshold. The measurements in a small region of the pixel array and within a given window in time are approximated by a probability distribution defined on a finite set. The distributions obtained in this way form a three dimensional family parameterized by the pixel addresses and by time. Each parameter value has an associated Fisher-Rao matrix obtained from the Fisher-Rao metric for the parameterized family of distributions. The optical flow vector at a given pixel and at a given time is obtained from the eigenvector of the associated Fisher-Rao matrix with the least eigenvalue. The Fisher-Rao algorithm for estimating optical flow is tested on eight datasets, of which six have ground truth optical flow. It is shown that the Fisher-Rao algorithm performs well in comparison with two state of the art algorithms for estimating optical flow from AER measurements.

Metadata

Statistics

DownloadsShow export options

Export as XMLJSONCSV

Activity Overview

6 month trend

67Downloads

6 month trend

60Hits

Additional statistics are available via IRStats2.

Archive Staff Only (login required)

Edit/View Item