Multiple Objects Detection Based on Background Subtraction and Gaussian Pyramid

DOI

10.2991/wiet-13.2013.30How to use a DOI?

Keywords

Multiple objects detection; Background subtraction; Guassian pyramid; Dynamic threshold

Abstract

For the multi-object detection problems with complex background, a method which combines background subtraction with Guassian pyramid on objects detection is presented. The method detects the whole object with taking samples from the objects with Guassian pyramid, building background models, extracting foreground areas from background subtraction, and eliminating the shadow on the foreground. The detection that integrates Gauss model which concerns the background renewal of calculation, overcomes the error resulted from the sudden change of background. A dynamic threshold concept is proposed to enhance detection effect, thus it increases the possibility of implementation. The experiment results show that moving objects detected by the proposed method is more reliable than the state-of-the-art.

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  - Liang Jiang
AU  - Yong-zhao Zhan
PY  - 2013/12
DA  - 2013/12
TI  - Multiple Objects Detection Based on Background Subtraction and Gaussian Pyramid
BT  - Proceedings of the AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
PB  - Atlantis Press
SP  - 130
EP  - 133
SN  - 1951-6851
UR  - https://doi.org/10.2991/wiet-13.2013.30
DO  - 10.2991/wiet-13.2013.30
ID  - Jiang2013/12
ER  -