Proceedings of the AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)

Multiple Objects Detection Based on Background Subtraction and Gaussian Pyramid

Authors
Liang Jiang, Yong-zhao Zhan
Corresponding Author
Liang Jiang
Available Online December 2013.
DOI
https://doi.org/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.
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Proceedings
AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
978-90786-77-95-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/wiet-13.2013.30How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - AASRI Winter International Conference on Engineering and Technology (AASRI-WIET 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/wiet-13.2013.30
DO  - https://doi.org/10.2991/wiet-13.2013.30
ID  - Jiang2013/12
ER  -