Proceedings of the 2nd International Conference on Teaching and Computational Science

Based on Bagging Method Moving Object Detection Design

Authors
Hong-cheng Zhou, Cun-bao Chen
Corresponding Author
Hong-cheng Zhou
Available Online May 2014.
DOI
10.2991/ictcs-14.2014.9How to use a DOI?
Keywords
moving object; features; shadow; Bagging; detection
Abstract

Focusing on the disturbance of moving cast shadow, a Bagging moving cast shadow removal method is proposed. Collecting shadow discrimination features from multiple shadow discrimination models, a shadow detector is trained by employing Bagging ensemble based learning framework. The shadow detector can automatically select effective shadow discrimination features and be updated online adaptively. Experimental results demonstrate the effectiveness of the proposed method.

Copyright
© 2014, 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 2nd International Conference on Teaching and Computational Science
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
10.2991/ictcs-14.2014.9
ISSN
1951-6851
DOI
10.2991/ictcs-14.2014.9How to use a DOI?
Copyright
© 2014, 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  - Hong-cheng Zhou
AU  - Cun-bao Chen
PY  - 2014/05
DA  - 2014/05
TI  - Based on Bagging Method Moving Object Detection Design
BT  - Proceedings of the 2nd International Conference on Teaching and Computational Science
PB  - Atlantis Press
SP  - 36
EP  - 39
SN  - 1951-6851
UR  - https://doi.org/10.2991/ictcs-14.2014.9
DO  - 10.2991/ictcs-14.2014.9
ID  - Zhou2014/05
ER  -