Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)

Research on Moving Object Recognition and Tracking Based on Embedded Platform

Authors
Hengxiang He, Chunyu Chen, Yulong Qiao
Corresponding Author
Hengxiang He
Available Online February 2018.
DOI
10.2991/ifmeita-17.2018.88How to use a DOI?
Keywords
Moving target tracking ;Kalman filter ;DM642
Abstract

In recent years, the concept of unmanned technology and automatic monitoring based on AI has gradually become a hotspot,which all need the equipment to identify the target in video image quickly and timely.This paper designs a set of video moving target recognition and tracking system based on embedded platform, uses Ti's latest 6000 series DSP to process the video data acquired by the High-speed camera, automatically identifies the moving target in the video screen,then tracks and predicts its movement trajectory.

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/).

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Volume Title
Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2018
ISBN
978-94-6252-464-4
ISSN
2352-5398
DOI
10.2991/ifmeita-17.2018.88How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Hengxiang He
AU  - Chunyu Chen
AU  - Yulong Qiao
PY  - 2018/02
DA  - 2018/02
TI  - Research on Moving Object Recognition and Tracking Based on Embedded Platform
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 506
EP  - 510
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.88
DO  - 10.2991/ifmeita-17.2018.88
ID  - He2018/02
ER  -