半遮挡目标鱼体的识别与跟踪方法研究

Study on identification and tracking of half-occlusion target fish

基于平面镜原理的三维目标跟踪平台,半遮挡会引起多目标交叉连接在一起,难以清晰地将多目标独立地分离出来,降低了跟踪定位准确性.针对这一问题,提出一种基于计算机视觉的半遮挡鱼体识别的方法.通过鱼体轮廓识别技术和鱼体质心点的提取方法,解决水箱当中鱼体目标与镜子当中鱼体目标的对应关系.最后进行了活体鱼半遮挡实验,实验结果表明:该方法能够有效地解决鱼体半遮挡分离问题,提高了鱼目标跟踪定位的准确性.

For the three-dimensional object tracking platform based on principle of plane mirror, half-occluded objects can cause multi-objective overlap. Thus it is difficult to clearly separate the targets and tracking accuracy will be reduced. A half-occluded fish contour recognition method based on computer vision is proposed. Using fish contour recognition technology and fish centroid point extraction method, we have obtained the coordinate spatial relationships between the target fish in tank and virtual fish in the mirror. Here we test the real fish in the experiment and experimental results show that this method can effectively solve the problem of separating halfoccluded fish and the fish target tracking accuracy is improved.