The Research of Moving Object Tracking in Video Images based on ARM

DOI

10.2991/icimm-15.2015.204How to use a DOI?

Keywords

ARM; Moving Object Tracking; Camshift; Three-frame differencing method

Abstract

With the rapid development of ARM processor, the computer vision systems begin to shift from the PC platform to the ARM platform. Moving object tracking is the key technology of the intelligent video surveillance, robot navigation, and other areas of precision-guided in the computer vision filed. This paper focuses on the principles of traditional Camshift algorithm and put forward an improved algorithm that combined with the three-frame differencing method and the Camshift algorithm. This paper also introduced how to implement the moving object tracking system on ARM platforms. The experiment on two videos indicates that compared to the traditional Camshift the proposed algorithm is more effective and feasible.

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  - Zicong Li
AU  - Fensu Shi
AU  - Qin Li
AU  - Xiao Liu
PY  - 2015/07
DA  - 2015/07
TI  - The Research of Moving Object Tracking in Video Images based on ARM
BT  - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 1127
EP  - 1133
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-15.2015.204
DO  - 10.2991/icimm-15.2015.204
ID  - Li2015/07
ER  -