A New Car Seat Detection Method

DOI

10.2991/macmc-17.2018.121How to use a DOI?

Keywords

car seat, image detection, SIFT

Abstract

In order to detect the products of car seat, propose a new car seat detection method in this paper. First, the car seat image is normalized to 256 pixels *256 pixels image. Then extract SIFT (scale invariant feature transform) feature points and match the points. According to the position of two matched points, the matching results are divided into two categories. One is vertical match point; the other is tilt matching point. Compare the number of the two categories. When the vertical match points are more than the tilt matching points, the answer is correct. Otherwise the answer is wrong. Experimental results show that for the detection of three different types of car seats, the detection accuracy is higher than 98%.

Copyright

© 2018, 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  - Xiaoguang Li
AU  - Changpeng Zhou
AU  - Ping Zhang
PY  - 2018/01
DA  - 2018/01
TI  - A New Car Seat Detection Method
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 643
EP  - 648
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.121
DO  - 10.2991/macmc-17.2018.121
ID  - Li2018/01
ER  -