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Proceedings Paper

Stereo vision system for tracking a dynamic object
Author(s): Amir Saeed Homainejad; Mark R. Shortis
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Paper Abstract

A stereo vision system has been designed to locate and track a dynamic object in real time. The system consists of two CCD cameras, a frame grabber and digital image processing software. The algorithm is based on the priciple of constructing a mathematical stereo model from two overlapping images while a dynamic object is passing through the scene. The stereo models are constructed at finite time intervals to provide a sequence of locations for the dynamic object. The size, shape, and behavior of the object in the scene, the precise position of CCD cameras and the performance of the system are fundamental parameters which should be carefully considered to achieve an appropriate precision and reliability. The system has two advantages. Firstly, the system is quickly able to recognize, detect, and track and object. Secondly, because fundamental photogrammetric equations (collinearity equations) have been used in this system, the points will be located precisely. This paper will explain the methodolgoy of the system, the problems and issues involved, and outline the results of experimentation with the system.

Paper Details

Date Published: 13 September 1995
PDF: 8 pages
Proc. SPIE 2598, Videometrics IV, (13 September 1995); doi: 10.1117/12.220920
Show Author Affiliations
Amir Saeed Homainejad, Univ. of Melbourne (Australia)
Mark R. Shortis, Univ. of Melbourne (Australia)

Published in SPIE Proceedings Vol. 2598:
Videometrics IV
Sabry F. El-Hakim, Editor(s)

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