Vehicle Detection Method based on Adap-tive Background Updating Algorithm
Lin Guo, Xiang-hui Shen
Available Online August 2013.
- https://doi.org/10.2991/icaicte.2013.41How to use a DOI?
- Adaptive Background Update; Gaussian Mixture Model; Video Vehicle De-tection; Foreground Extraction; Frame Differ-ence Method; Image Compensate Method
- This paper mainly researches and simulates the adaptive background updating algorithm based on Gaussian Mixture Model (GMM) in video vehicle detection, and it researches on some methods to extract the foreground. Frame difference method uses the brightness difference of two consecutive frames to analy-sis the motion characteristics and the approx-imate location and shape. The improved mage compensate method combines binary video and edge video. And by judging district size, erosion and dilation, disturbing lanes and noise points are successfully removed.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lin Guo AU - Xiang-hui Shen PY - 2013/08 DA - 2013/08 TI - Vehicle Detection Method based on Adap-tive Background Updating Algorithm BT - 2013 International Conference on Advanced ICT and Education (ICAICTE-13) PB - Atlantis Press SP - 194 EP - 197 SN - 1951-6851 UR - https://doi.org/10.2991/icaicte.2013.41 DO - https://doi.org/10.2991/icaicte.2013.41 ID - Guo2013/08 ER -