Study of multiscale detection in near distance image for numbers of people in elevator car

DOI

10.2991/icmse-15.2015.60How to use a DOI?

Keywords

near distance image; multiscale; region image; overlapped region

Abstract

It is necessary to have a video surveillance of the quantity of people in construction elevator to take down the emergence of casualty like death in group. Considering the relatively tiny spacing in the car and complex background, the results of existing people counting algorithm are not satisfactory. This paper proposes a machine learning recognition method of multiscale ROI image processing for the working conditions of object occlusion and uncertain image size. Multiscale image change according to region is to improve accuracy to object recognition. Then overlapped processing method is used in border area targets. The results of experiment show that the algorithm for object recognition is better in the condition of object occlusion and uncertainimagesize, and greatly reduces runtime and improves accuracy for the condition of complex background in elevator.

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  - Bin Xu
AU  - Jing Yang
AU  - Feng Xu
AU  - Mangmang Guo
PY  - 2015/12
DA  - 2015/12
TI  - Study of multiscale detection in near distance image for numbers of people in elevator car
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 322
EP  - 328
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.60
DO  - 10.2991/icmse-15.2015.60
ID  - Xu2015/12
ER  -