Research on Object Detection Technology of High Resolution Image of Photoelectric Turntable
According to the requirements of high-resolution images of search tracking turntable,combined with the motion characteristics of search tracking turntable,this paper proposes an image object detection method based on background modeling and YOLOv7.Firstly,according to the motion parameters of the turntable,the pre-sampling background image is corrected by projection perspective to obtain a continuous background image,and then the moving foreground object is obtained by the background difference method.Secondly,taking YOLOv7 as the object detector of the algorithm,combined with the characteristics of semi-fixed background information of the turntable,the background image is used as training data to further train the optimized network parameters.Finally,an experimental platform is set up and an experimental data set is established.Experimental results show that compared with the original YOLOv7 model,the recall rate of the proposed model is improved by 6.56%,and the accuracy is improved by 5.36%.It can be effectively applied to the object detection task of high-resolution search tracking turntable.
万方数据
维普
