基于OpenMV的无人机目标跟踪系统

Drone Target Tracking System Based on OpenMV

无人机在众多领域展现出巨大的应用潜力,其中作为关键技术之一,目标跟踪对于提升无人机自主作业能力至关重要。文章介绍一种无人机目标识别与跟踪系统。该系统基于OpenMV平台,利用阈值分割的图像处理算法,确保目标识别的高精度与鲁棒性。通过分析图像中特定色块的位置,计算相对于图像中心的偏移量,进而确定目标运动轨迹。所获取的偏移信息被实时传输至无人机控制系统,无人机通过PID控制器调节,自动调整飞行路径,对目标实施紧密跟踪。在实现过程中,通过优化算法参数和进行大量实验测试,确保系统的稳定、可靠运行。实验结果表明,该系统能准确识别目标色块,并实现对目标的稳定伴飞,为无人机在目标跟踪、智能监控等领域的应用提供有力支持。

The drones have demonstrated significant potential in a wide range of applications,with target tracking being one of the key technologies that enhance their autonomous operation capabilities.This paper presents a drone-based target recognition and tracking system.The system is built on the OpenMV platform,employing threshold segmentation image processing algorithms to ensure the high accuracy and robustness in target identification.By analyzing the position of specific color patches within images,it calculates the offset relative to the image center,thus,determining the target's motion trajectory.The obtained offset information is transmitted in real-time to the drone's control system,enabling automatic flight path adjustments through a PID controller for close target tracking.Throughout development,algorithm parameters were optimized and extensive testing was conducted to ensure stable and reliable system performance.Experimental results demonstrate the system's ability to accurately identify the target color patches and achieve the stable companion flying,providing substantial support for drone applications in target tracking,intelligent surveillance,and related fields.