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Proceedings Paper

Trinocular vision for automatic and robust 3D determination of the trajectories of moving objects
Author(s): Emmanuel P. Baltsavias; Dirk Stallmann
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Paper Abstract

An automatic procedure for tracking signalised points on multiple, differently moving surfaces will be described. The practical tests involve tracking of points on a person walking within a calibration frame. Three simultaneously acquiring CCD cameras, which are oriented using control points, provide the input data. For implementation, the hardware (H/W) and software (S/W) of a digital photogrammetric system have been used. The procedure includes extraction of the signalised points and finding corresponding points in all three images, thus providing 2-D and 3-D coordinates and tracking using the information in both image and object space. Reliability aspects such as occlusions, multiple solutions and different backgrounds will be analysed. The effect of a third image on reliability will be analysed.

Paper Details

Date Published: 1 August 1990
PDF: 10 pages
Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139528 (1 August 1990); doi: 10.1117/12.2294323
Show Author Affiliations
Emmanuel P. Baltsavias, ETH Zurich (Switzerland)
Dirk Stallmann, ETH Zurich (Switzerland)


Published in SPIE Proceedings Vol. 1395:
Close-Range Photogrammetry Meets Machine Vision
Armin Gruen; Emmanuel P. Baltsavias, Editor(s)

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