Real-Time Estimation of 2-D Motion for Object Tracking

S. R. Maeng; K. Wohn

doi:10.1117/12.969813

1 March 1990 Real-Time Estimation of 2-D Motion for Object Tracking

S. R. Maeng, K. Wohn

Proceedings Volume 1193, Intelligent Robots and Computer Vision VIII: Systems and Applications; (1990) https://doi.org/10.1117/12.969813
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

Citation Download Citation

S. R. Maeng and K. Wohn "Real-Time Estimation of 2-D Motion for Object Tracking", Proc. SPIE 1193, Intelligent Robots and Computer Vision VIII: Systems and Applications, (1 March 1990); https://doi.org/10.1117/12.969813

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