Paper
1 August 1990 Trinocular vision for automatic and robust 3D determination of the trajectories of moving objects
Emmanuel P. Baltsavias, Dirk Stallmann
Author Affiliations +
Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 139528 (1990) https://doi.org/10.1117/12.2294323
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland
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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emmanuel P. Baltsavias and Dirk Stallmann "Trinocular vision for automatic and robust 3D determination of the trajectories of moving objects", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139528 (1 August 1990); https://doi.org/10.1117/12.2294323
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Cited by 3 scholarly publications.
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KEYWORDS
Cameras

Calibration

Blob detection

Image processing

Photogrammetry

3D image processing

Binary data

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