Evaluation of a robust least squares motion detection algorithm for projective sensor motions parallel to a plane

Fabian Campbell-West; Paul Miller

doi:10.1117/12.605237

1 June 2005 Evaluation of a robust least squares motion detection algorithm for projective sensor motions parallel to a plane

Fabian Campbell-West, Paul Miller

Author Affiliations +

Proceedings Volume 5823, Opto-Ireland 2005: Imaging and Vision; (2005) https://doi.org/10.1117/12.605237
Event: OPTO-Ireland, 2005, Dublin, Ireland

Abstract

A robust least squares motion detection algorithm was evaluated with respect to target size, contrast and sensor noise. In addition, the importance of robust motion estimation was also investigated. The test sequences used for the evaluation were generated synthetically to simulate a forward looking airborne sensor moving with translation parallel to a flat background scene with an inserted target moving orthogonal to the camera motion. For each evaluation parameter, test sequences were generated and from the processed imagery the algorithm performance measured by calculating a receiver-operating-characteristic curve. Analysis of the results revealed that the presence of small amounts of noise results in poor performance. Other conclusions are that the algorithm performs extremely well following noise reduction, and that target contrast has little effect on performance. The system was also tested on several real sequences for which excellent segmentation was obtained. Finally, it was found that for small targets and a downward looking sensor, the performance of the basic least squares was only slightly inferior to the robust version. For larger targets and a forward looking sensor the robust version performed significantly better.

Citation Download Citation

Fabian Campbell-West and Paul Miller "Evaluation of a robust least squares motion detection algorithm for projective sensor motions parallel to a plane", Proc. SPIE 5823, Opto-Ireland 2005: Imaging and Vision, (1 June 2005); https://doi.org/10.1117/12.605237

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available