Proceedings of the 2015 International Symposium on Computers & Informatics

Target Detection Via Combining Canny Operator With Vibe Method

Authors
Lingling Chen, Songhao Zhu, Xiangxiang Li
Corresponding Author
Lingling Chen
Available Online January 2015.
DOI
10.2991/isci-15.2015.99How to use a DOI?
Keywords
Vibe Method; Body Contour; Motion Recognition
Abstract

Due to the complexity of human motion, the target detection results by using traditional ViBe algorithm are not so satisfactory. Therefore, this paper proposes a method to deal with the target detection issue by fusing an improved Canny operator with Vibe algorithm. Specifically, the ViBe algorithm is utilized to achieve the initial foreground region of a moving object; then, the improved Canny operator is applied to extract the edge information of a moving object; finally, the extracted foreground region and edge information are fused to obtain more accurate foreground region. The experimental results performed on KTH human behavior database demonstrate the effectiveness of the proposed scheme.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/isci-15.2015.99
ISSN
2352-538X
DOI
10.2991/isci-15.2015.99How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Lingling Chen
AU  - Songhao Zhu
AU  - Xiangxiang Li
PY  - 2015/01
DA  - 2015/01
TI  - Target Detection Via Combining Canny Operator With Vibe Method
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 742
EP  - 749
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.99
DO  - 10.2991/isci-15.2015.99
ID  - Chen2015/01
ER  -