Segmentation and Recognition Algorithm Research of Moving Targets in an Image

DOI

10.2991/isrme-15.2015.270How to use a DOI?

Keywords

motion estimation and compensation; improved HSI frame difference method; segmentation of moving targets; targets classification.

Abstract

For image segmentation and recognition problems of moving target in the image, a humanoid intelligently cognitive method has been discovered. The thesis adopts an improved three-step search algorithm to improve the search speed of gray projection algorithm, through improved HSI difference model, adaptive segmentation algorithm and image morphology to automatically extracting moving target area under the condition of non-background image; the thesis introduces some features analysis and definition of moving objects to calculate and match eigenvalues of the moving target area, classifies and recognizes the moving target area. Experimental results show that the method in this thesis can effectively extract the moving targets and quickly achieve classification and reorganization of moving objects.

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  - Lixin Zhao
AU  - Jianping Wang
AU  - Yong Zhang
AU  - Mengqing Xie
PY  - 2015/04
DA  - 2015/04
TI  - Segmentation and Recognition Algorithm Research of Moving Targets in an Image
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1352
EP  - 1359
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.270
DO  - 10.2991/isrme-15.2015.270
ID  - Zhao2015/04
ER  -