An Efficient Moving Target Tracking Strategy Based on OpenCV and CAMShift Theory
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.6How to use a DOI?
- Object tracking, Moving detection, Color histogram
- 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.
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 PB - Atlantis Press SP - 40 EP - 47 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 -