Counting of Visible Foreign Particles in Liquid Injection Based on Trajectory Modelling

DOI

10.2991/mic-15.2015.1How to use a DOI?

Keywords

visible foreign particle; multiple targets tracking; nearest neighbor; support vector machine; trajectory modelling

Abstract

In order to meet the requirements of counting of visible foreign particles in liquid injection, an automatic visible foreign particles counting system based on trajectory modelling is developed. The mechanical part drives containers to spin and stop abruptly and afterwards the liquid continues to spin. A sequence of images is collected. Gaussian mixture model is used to detect moving targets. In the first step we track trajectories preliminarily by nearest neighbor approach and break unreasonable associations. In the second step, we model the particle movement by damped vibration and a SVM with modeling residuals as features was used to determine whether two short candidate tracks to belong to the same trajectory. Finally, we analyze the trajectories to determine the number of visible foreign particles.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wang Sirui
AU  - Zhuo Qing
AU  - Xia Ji’an
PY  - 2015/08
DA  - 2015/08
TI  - Counting of Visible Foreign Particles in Liquid Injection Based on Trajectory Modelling
BT  - Proceedings of the 2nd International Conference on Modelling, Identification and Control
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 1951-6851
UR  - https://doi.org/10.2991/mic-15.2015.1
DO  - 10.2991/mic-15.2015.1
ID  - Sirui2015/08
ER  -