Proceedings of the 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)

Research on moving target tracking technology based on complex background

Authors
Xintao Huang, Jun Yang, Mengjiao Wu, Can Zhao
Corresponding Author
Xintao Huang
Available Online December 2016.
DOI
10.2991/icmcm-16.2016.3How to use a DOI?
Keywords
Moving object tracking; meanshift; Camshift
Abstract

With the needs of social development, video tracking based on the algorithm has gradually been in a hot research in the software.CamShift algorithm is a real-time tracking algorithm, using color histogram model get each image frame color projection, and according to previous frame tracking results to adjust the search window positions and sizes, resulting in the current image size and central location of the target.Primarily,this system is a moving object tracking detection system based on CamShift. the system can track moving objects on the indoor environment or to track the moving object in the video stream.

Copyright
© 2016, 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 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
978-94-6252-267-1
ISSN
2352-5401
DOI
10.2991/icmcm-16.2016.3How to use a DOI?
Copyright
© 2016, 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  - Xintao Huang
AU  - Jun Yang
AU  - Mengjiao Wu
AU  - Can Zhao
PY  - 2016/12
DA  - 2016/12
TI  - Research on moving target tracking technology based on complex background
BT  - Proceedings of the 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)
PB  - Atlantis Press
SP  - 11
EP  - 14
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmcm-16.2016.3
DO  - 10.2991/icmcm-16.2016.3
ID  - Huang2016/12
ER  -