Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Real time Passenger Flow Calculation Based on Zynq

Authors
Yiliang Wu, Zhansheng Yuan, Jiachun Zheng
Corresponding Author
Yiliang Wu
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.173How to use a DOI?
Keywords
Passenger; Hough GHT; Xilinx Zynq; Hardware and software collaborative design.
Abstract

There are many researches on pedestrian detection. These researches are mainly used in ADAS systems based on the front view of the pedestrian. However in some situation, for example on the bus or in the public access, passenger flow calculation needs to be done based on the top view images. This paper presents an efficient FPGA-based passenger flow calculation on a Xilinx Zynq SoC. The algorithms presented include hair model and head detection. The hardware and software collaborative design realized accurate detection in real-time.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.173How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Yiliang Wu
AU  - Zhansheng Yuan
AU  - Jiachun Zheng
PY  - 2017/04
DA  - 2017/04
TI  - Real time Passenger Flow Calculation Based on Zynq
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 909
EP  - 912
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.173
DO  - 10.2991/fmsmt-17.2017.173
ID  - Wu2017/04
ER  -