Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

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

Authors
Li Dongyu
Corresponding Author
Li Dongyu
Available Online November 2013.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.6
DO  - https://doi.org/10.2991/icmt-13.2013.6
ID  - Dongyu2013/11
ER  -