Motion Detection Based on Twice Segmentation

DOI

10.2991/icmt-13.2013.188How to use a DOI?

Keywords

Motion detection; Motion vector; GMM; Twice segmentation; Shadow removal

Abstract

Motion detection is widely used in computer intelligent visual processing such as object tracking, object recognition and behavioural analysis. In this paper, Motion vector is adopted in order to get the accurate rough motion region. Motion vector can remove the small false motion objects. Frame difference method is conducted to get the motion matrix, and seed fill algorithm can be used to get the connectivity of the motion matrix. We can get the motion energy in the meantime. Some obvious false samples can be filtered out based on the motion vector. Considering of the regional characteristic of the motion objects in practical situation, we can set a size threshold to exclude these false motion regions. What’s more, the motion energy can be used as the measurement of motion detection in the subsequent refine segmentation stage. Twice segmentation is needed to obtain the accurate motion object. This method can be efficient with less noisy point and better object skeleton with shadow removal. To confirm the effectiveness of the proposed method, we tested the method in different scene and background environment.

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  - Dong Jiangkai
AU  - Yuan Yule
AU  - Zhao Yong
PY  - 2013/11
DA  - 2013/11
TI  - Motion Detection Based on Twice Segmentation
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1532
EP  - 1539
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.188
DO  - 10.2991/icmt-13.2013.188
ID  - Jiangkai2013/11
ER  -