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Academic Journal of Engineering and Technology Science, 2022, 5(4); doi: 10.25236/AJETS.2022.050409.

Design of UAV Cooperative Target Tracking System Based on Computer Vision Algorithm

Author(s)

Yucao Tang

Corresponding Author:
Yucao Tang
Affiliation(s)

University of California, Irvine, California, 94086, United States

Abstract

In this paper, a video intelligent monitoring and tracking system is designed based on Computer Vision algorithm. The system is developed and implemented with OpenCV computer vision library, Visual Studio and MFC framework. Firstly, the overall framework of the system is designed, and the second is to analyze the preprocessing of video data. Then, the target is extracted by the Gaussian mixture background difference method, and the target is separated from the background by thresholding. Then, the target is tracked by Camshift and Kalman filters and an alarm prompt is issued. The final system implementation results show that the moving target extraction based on the Gaussian mixture background difference method, and through binary processing, can be accurately and reliably separated from the background, and the target detection effect is remarkable; the alarm mechanism can be triggered accurately and timely, and the alarm prompt information can be issued.

Keywords

computer vision algorithm; video surveillance; tracking

Cite This Paper

Yucao Tang. Design of UAV Cooperative Target Tracking System Based on Computer Vision Algorithm. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 4: 48-54. https://doi.org/10.25236/AJETS.2022.050409.

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