Tracking Method for Steel Plates in Cold Zone of Medium-Thick Plate Factories Based on Image Recognition and Data Analysis
The existing MCMT(multi-camera and multi-object tracking)methods cannot effectively solve problems such as network delay,target occlusion,and image blur.Therefore,a MCMT method based on image recognition and data analysis is proposed.This method adopts a dual stream network structure,adding spatial and temporal flows in the input part,and using physical rules to constrain and modify target behavior for data analysis.It can track steel plates in the entire area in real-time in complex environments,and can also reposition steel plates after they disappear and reappear.By using physical rules to constrain and correct target behavior,the impact of network delay,target occlusion,and image blur on multi-camera and multi-target tracking has been eliminated.
万方数据
维普
