Translator Disclaimer
Paper
19 February 2015 Geometric measurement of moving object based on visual detecting-learning mechanism
Author Affiliations +
Proceedings Volume 9449, The International Conference on Photonics and Optical Engineering (icPOE 2014); 94493A (2015) https://doi.org/10.1117/12.2083096
Event: The International Conference on Photonics and Optical Engineering and the Annual West China Photonics Conference (icPOE 2014), 2014, Xi'an, China
Abstract
This paper proposes a novel geometric statistical measurement of long sequence moving objects, which can accurately measure the geometry of the moving objects in non-contact measurement environment. The proposed algorithm adopts detecting-learning method for tracking moving objects in a long-term, gets the moving sequence data, extracts the geometric contour and computes the geometric and motion parameters of the objects. Then we analyze the long sequence to train the parameters. Experimental data showed that the adoption of geometric measurement of moving objects based on detecting-learning mechanism performs favorably. The method can provide high-accuracy geometric and motion parameters of the objects.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hong Wang and Jia Deng "Geometric measurement of moving object based on visual detecting-learning mechanism ", Proc. SPIE 9449, The International Conference on Photonics and Optical Engineering (icPOE 2014), 94493A (19 February 2015); https://doi.org/10.1117/12.2083096
PROCEEDINGS
4 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT


Back to Top