1 July 2001 Efficiently tracking a moving object in two-dimensional image space
Author Affiliations +
A tracking algorithm has been developed to efficiently track a moving object in two-dimensional image space. The algorithm employs a limited exhaustive template matching scheme that combines the accuracy of an exhaustive search with the computational efficiency of a coarse-fine template matching scheme. The overall result is an accurate, time-efficient tracking algorithm. After providing a theoretical discussion of the algorithm, three separate biomedical applications of the algorithm are described: (1) stabilizing an irradiating laser on the retinal surface for photocoagulation treatment, (2) measuring target fixation eye movement to construct pattern densities at the retina, and (3) tracking a rat swimming in a Morris Water Maze for psychophysiological studies. Results for each application is provided. The paper concludes with a discussion of the relative merits of the tracking algorithm and recommendations for methods to improve the performance of the algorithm.
©(2001) Society of Photo-Optical Instrumentation Engineers (SPIE)
Steven F. Barrett, Cameron H. G. Wright, Harry Zwick, Michael J. Wilcox, Benjamin A. Rockwell, and Espen Naess "Efficiently tracking a moving object in two-dimensional image space," Journal of Electronic Imaging 10(3), (1 July 2001). https://doi.org/10.1117/1.1380202
Published: 1 July 2001
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Retina

Algorithm development

Video

Eye

Head

Cameras

Back to Top