Study on the Method of Speed Detection and Image Recognition Based on Signal Normalized Cut Algorithm

DOI

10.2991/amcce-15.2015.142How to use a DOI?

Keywords

Signal recognition; Normalization; Time series; Image segmentation; Arm speed

Abstract

In the image segmentation process, this paper uses the time series similarity principle to divide the image of track and field athletes into many similar blocks, and uses normalized processing to detect and identify the image, which greatly improves the speed and precision of image recognition. In order to verify the effectiveness and the reliability of the algorithm, this paper detects the arm speed of sprinter, finally the image segmentation normalized results and the curve of arm speed changing with time are obtained, which provides a new computer algorithm for identification and detection of arm speed signal.

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  - Chunmei Lu
PY  - 2015/04
DA  - 2015/04
TI  - Study on the Method of Speed Detection and Image Recognition Based on Signal Normalized Cut Algorithm
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 1142
EP  - 1147
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.142
DO  - 10.2991/amcce-15.2015.142
ID  - Lu2015/04
ER  -