An Efficient Moving Target Tracking Strategy Based on OpenCV and CAMShift Theory

DOI

10.2991/icmt-13.2013.6How to use a DOI?

Keywords

Object tracking, Moving detection, Color histogram

Abstract

Image movement involved background movement and target movement. The complexities of movement increased the difficulty of target tracking. This study was implemented in the Window platform and the Microsoft visual C compiler environment, and used camera as a video capture device. The system of moving target detection and tracking was realized based on continuously adaptive mean shift and open computer vision theory, achieved moving target tracking by improving the algorithm. The experimental results showed that the proposed moving target detection algorithm was superior to the traditional mean shift tracking. It could track target efficiently, and further real-time drew motion trajectory.

Copyright

© 2013, 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  - Li Dongyu
PY  - 2013/11
DA  - 2013/11
TI  - An Efficient Moving Target Tracking Strategy Based on OpenCV and CAMShift Theory
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 40
EP  - 47
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.6
DO  - 10.2991/icmt-13.2013.6
ID  - Dongyu2013/11
ER  -