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/).
Cite this article
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 -