Research on Video Segmentation and Motion Detection Based on Lattice Pohl Seidman Method
- 10.2991/ame-17.2017.66How to use a DOI?
- Video analysis, image segmentation, Lattice Lattice Boltzmann Method, optical flow field, motion estimation, threshold setting
This paper mainly studies the application of the lattice Pohl Seidman method in the optical flow field computer. A lattice Pohl Seidman equation is established for the optical flow field in a sequence of consecutive image frames using the lattice Pohl Seidman method. And the corresponding constraint conditions are set up. By using the lattice D2Q9 equation of the Pohl Seidman equation in the form of a lattice equation, the computational equation is used to calculate the optical flow field. The image can be segmented accurately by the iterative results, and the local motion estimation can be realized. The simulation results show that the detection results are accurate. It simulation results show that the detection results are accurate. Experimental results show that the proposed method is more than one order of magnitude faster than Laplasse filtering. It has important significance for video coding.
- © 2017, 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 - Xiao-Dong Zhu AU - Jing Wang PY - 2017/04 DA - 2017/04 TI - Research on Video Segmentation and Motion Detection Based on Lattice Pohl Seidman Method BT - Proceedings of the 3rd Annual International Conference on Advanced Material Engineering (AME 2017) PB - Atlantis Press SP - 402 EP - 407 SN - 2352-5401 UR - https://doi.org/10.2991/ame-17.2017.66 DO - 10.2991/ame-17.2017.66 ID - Zhu2017/04 ER -