Video Object Extraction Integrating Temporal-Spatial Information

DOI

10.2991/emeit.2012.455How to use a DOI?

Keywords

video object segmentation, -distribution significance test, Sobel, temporal-spatial filter

Abstract

A novel video object segmentation method combines change detection and edge detection is proposed here. The process of the algorithm can be divided into three parts: motion detection, spatial segmentation and temporal-spatial filter, which integrates the spatial and temporal information of the video sequence. The motion detection step makes use of the -distribution significance test, then, the initial motion detection mask of every frame in the video sequence can be integrated to form the movement mask. For spatial segmentation the Sobel edge detection operator is used to get the boundary of the video objects in current frame, temporal-spatial filter then integrates the temporal and spatial information, extracts the precise boundary of moving object and also reduces the residual noise. Finally, the segmentation of video objects can be optimized by filling and morphology operation.

Copyright

© 2012, 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  - Shiping Zhu
AU  - Jie Gao
PY  - 2012/09
DA  - 2012/09
TI  - Video Object Extraction Integrating Temporal-Spatial Information
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 2053
EP  - 2056
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.455
DO  - 10.2991/emeit.2012.455
ID  - Zhu2012/09
ER  -