Study on Detection Algorithm of Moving Housed-pig Targets Based on Back-ground Subtraction Method

DOI

10.2991/icaicte.2013.137How to use a DOI?

Keywords

background, background subtraction method, object detection, background initiation, background updating

Abstract

In this article, a pig detection algorithm based on self-adaptive background sub-traction is presented, by applying the im-proved background subtraction algorithm to target detection of moving objects in the static background. The method of averaging the values of Multi-Frame images is used to avoid error detection object in background testing due to the moving objects appearing in the first frame. There will be a quick response after the dynamic changes of the background by using Surendra background updating algorithm to update the background. Experiment results showed that the algorithm is avail-able and efficient, and can meet the re-quirements of dynamic update of back-ground.

Copyright

© 2013, 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  - Zhenye Li
AU  - Longqing Sun
AU  - Qiong Wu
PY  - 2013/08
DA  - 2013/08
TI  - Study on Detection Algorithm of Moving Housed-pig Targets Based on Back-ground Subtraction Method
BT  - Proceedings of the 2013 International Conference on Advanced ICT and Education
PB  - Atlantis Press
SP  - 669
EP  - 673
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.137
DO  - 10.2991/icaicte.2013.137
ID  - Li2013/08
ER  -