CAJ | 학술논문

为克服传统目标检测跟踪方法无法对目标准确定位，以及在复杂环境下容易受光照、阴影等因素干扰的问题，提出了基于双目视觉的目标检测跟踪与定位方法。首先使用 Matlab 标定工具箱和OpenCV 进行摄像机标定和图像校正，然后利用基于双目视觉的背景差分法实现目标检测，结合基于Kalman滤波的改进 Camshift 算法实现目标跟踪，最后利用视差图得到目标三维信息，从而实现目标定位。实验结果表明，所提方法能够实时跟踪运动目标并实现目标的准确定位。
위극복전통목표검측근종방법무법대목표준학정위，이급재복잡배경하용역수광조、음영등인소간우적문제，제출료기우쌍목시각적목표검측근종여정위방법。수선사용 Matlab 표정공구상화OpenCV 진행섭상궤표정화도상교정，연후이용기우쌍목시각적배경차분법실현목표검측，결합기우Kalman려파적개진 Camshift 산법실현목표근종，최후이용시차도득도목표삼유신식，종이실현목표정위。실험결과표명，소제방법능구실시근종운동목표병실현목표적준학정위。
In order to solve problems such as tradi-tional target detecting and tracking methods failing to locate accurately and method being susceptible to inter-ference from light and shadow,target detecting and positioning methods based on binocular vision are put forward.Firstly,the Matlab Calibration Toolbox and OpenCV were used for camera calibration as well as for image correction. Next, the background difference method based on binocular vision was used to achieve target detection,while the improved Camshift algo-rithm based on Kalman filtering was employed to real-ize target tracking.Finally,a disparity map was used to obtain the three dimensional target information, thereby achieving target location.Experimental results show that the proposed method can track the moving target in real time and can achieve an accurate positio-ning.