Research on image recognition and detection based on correlation filters
Target recognition and detection is a research hotspot in computer vision,widely used in access control,cameras,and unmanned driving.However,the application often encounters problems such as occlusion,rotation,and complex backgrounds,making target recognition and detection even more challenging.In recent years,correlation filters have attracted much attention due to their advantages such as fast detection speed,high recognition accuracy,and translation invariance in experiments.Firstly,the basic model of correlation filters is introduced to explain the principles of correlation filters for recognition and detection.The devel-opment of many types of correlation filters,including matched filters,synthetic discriminant functions,optimal correlation outputs,and other important correlation filters is then detailed,and they are effective through recognition and detection experiments.Finally,some points are made about the future development of correlation filters based on their evolution.
万方数据
维普
