Target Detection and Recognition Method of Farming Machine Based on Machine Vision

DOI

10.2991/nceece-15.2016.244How to use a DOI?

Keywords

farm; farming machine operation; background detection; machine vision

Abstract

In operation system of farming machine, the moving target detection is a key part of the monitoring system. Aimed at the shortcoming of poor detection effect of Gaussian background modeling, this paper proposes a detection method based on non-reference background model. The model utilizes the previous series of sampling values of current pixel to estimate the probability model of observed pixel; then based on the probability model to carry on binary detection of moving object. In terms of moving target recognition, this paper puts forward several characteristics, and trains identification through BP neural network. The experimental results show that the background model can effectively detect the moving target, and also achieve the satisfactory effect of recognition rate of farming machine based on machine vision.

Copyright

© 2016, 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  - Jiajun Jiang
AU  - Xiangquan Gui
PY  - 2015/12
DA  - 2015/12
TI  - Target Detection and Recognition Method of Farming Machine Based on Machine Vision
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1385
EP  - 1389
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.244
DO  - 10.2991/nceece-15.2016.244
ID  - Jiang2015/12
ER  -