基于改进Camshift目标跟踪的智能移位还原监控系统

Intelligent shift restoration monitoring system based on improved Camshift target tracking

针对实时监控系统在复杂背景或颜色相近且有遮挡情况下目标检测与跟踪时易出现误判现象的问题,利用Qt和OpenCV设计了一种基于改进Camshift目标跟踪的智能移位还原监控系统。采用改进的三帧差分法对运动目标进行检测,融合Kalman滤波算法与AKAZE特征匹配算法对Camshift算法进行改进,实现在有遮挡情况下目标的检测与跟踪。在此基础上,结合移位还原技术实现精确的位置还原,并进行了软件设计。运行结果表明,改进的目标跟踪算法能够在背景存在大量干扰的情况下准确跟踪目标。移位还原技术也能够辅助将物体进行100%的还原。该监控系统可以应用于多种复杂应用场景下,同时能够为公共安全提供技术支持。

Aiming at the problem that the real-time monitoring system is prone to misjudgment in target detection and tracking under complex backgrounds or similar colors and occlusions,an intelligent shift restoration monitoring system based on improved Camshift target tracking is designed using Qt and OpenCV.The improved three-frame difference method is used to detect the moving target,and the Kalman filter algorithm and the AKAZE feature matching algorithm are merged to improve the Camshift algorithm to realize the tracking of the target under the occlusion.On this basis,combined with position restoration technology to achieve accurate restoration of objects after moving,and design special software.After software testing,the results show that the target tracking algorithm can accurately track the target in the presence of interference in the background.Shift restoration technology can also assist in 100%restoration of objects.This monitoring system can be applied to a variety of complex application scenarios,and at the same time can provide technical support for ensuring public safety.