Research on Video Object Segmentation Algorithm Based on Background Reconstruction

DOI

10.2991/icmse-15.2015.164How to use a DOI?

Keywords

Background Reconstruction, Shadow elimination, background frame

Abstract

Aiming at the problem of occlusion and shadow in the existing video object segmentation algorithm, a new video object segmentation based on background reconstruction is proposed. In the time domain, the motion area of a single frame image is obtained, and the method of changing the template with the frame difference or the two frame difference map is discarded. By using the two frame difference to obtain the motion information of the single frame, the threshold is obtained by the frame difference mask image, thus improving the accuracy of background reconstruction. The threshold value of the process is obtained by LHS method. The method can generate adaptive threshold in time. Finally, a method of eliminating the shadow is proposed.

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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TY  - CONF
AU  - Fengmin Cheng
PY  - 2015/12
DA  - 2015/12
TI  - Research on Video Object Segmentation Algorithm Based on Background Reconstruction
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 908
EP  - 911
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.164
DO  - 10.2991/icmse-15.2015.164
ID  - Cheng2015/12
ER  -