Study on Detection Algorithm of Moving Housed-pig Targets Based on Back-ground Subtraction Method
Zhenye Li, Longqing Sun, Qiong Wu
Available Online August 2013.
- https://doi.org/10.2991/icaicte.2013.137How to use a DOI?
- background, background subtraction method, object detection, background initiation, background updating
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2013 International Conference on Advanced ICT and Education (ICAICTE-13) PB - Atlantis Press SP - 669 EP - 673 SN - 1951-6851 UR - https://doi.org/10.2991/icaicte.2013.137 DO - https://doi.org/10.2991/icaicte.2013.137 ID - Li2013/08 ER -