The Motion Estimation Research Based on the Histogram of Canny Edge Feature Points

DOI

10.2991/eame-15.2015.169How to use a DOI?

Keywords

canny; motion estimation; edge detection; histogram matching

Abstract

The criteria of traditional block matching motion estimation algorithm is based on the gray value offset between macro block, which was sensitive to the noise and the treatment under uneven illumination environment. For above problem, the paper proposed that using canny algorithm extracted the edge profile of current frame, and then calculate the feature points distribution histogram of block estimated, finally, using the the distance of feature points histogram between two frames as matching criteria for all frames. The experiment showed that, the motion estimation accuracy of improved algorithm is high, and it has small difference between target and matching box. Improved algorithm has better robustness on the scene affected by the noise and poor illumination, and it can apply to intelligent image processing work of coal mine and other special environments.

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/).

Download article (PDF)

TY  - CONF
AU  - Q. Zhao
AU  - Y.B. Hou
AU  - Y.X. Jia
AU  - S.W. Kou
AU  - S. Zhao
AU  - X.R. Mao
PY  - 2015/07
DA  - 2015/07
TI  - The Motion Estimation Research Based on the Histogram of Canny Edge Feature Points
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 611
EP  - 614
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.169
DO  - 10.2991/eame-15.2015.169
ID  - Zhao2015/07
ER  -