Based on Bagging Method Moving Object Detection Design

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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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  -