Share Email Print

Proceedings Paper

Real-Time Estimation of 2-D Motion for Object Tracking
Author(s): S. R. Maeng; K. Wohn
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

An algorithm capable of estimating the image motion of a moving object in real-time is described. Our method is based on the image correlation technique. But unlike previous approaches, we estimate the motion along the image gradient direction only. As the result we obtain the normal flow vector. This approach allows us to avoid difficulties often arise due to the multiple matching. Normal flow vectors are used to estimate the actual flow vector (often called full flow vector) by assuming that the 2-D motion is locally constant in a small neighborhood. This process requires solving a linear system of order 2 only. This entire process operates uniformly on several spatial resolutions of image sequence. Each resolution is tuned to a specific range of image motion, and the correct resolution is determined by comparing the confidence which has been computed in the course of full flow estimation.

Paper Details

Date Published: 1 March 1990
PDF: 10 pages
Proc. SPIE 1193, Intelligent Robots and Computer Vision VIII: Systems and Applications, (1 March 1990); doi: 10.1117/12.969813
Show Author Affiliations
S. R. Maeng, Korea Advanced Institute of Science and Technology (South Korea)
K. Wohn, University of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 1193:
Intelligent Robots and Computer Vision VIII: Systems and Applications
Bruce G. Batchelor, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?