Fully-associated tracking model for occluded objects inself-service cashier scenarios
The frequent occlusion between commodity objects in self-service cashier surveillance videos can lead to the problem of missing appearance information of the objects,and the motion information of stationary products cannot provide valuable tracking clues for object association,leading to the difficulty of object tracking in self-service cashier scenarios.In this study,a fully associated tracking model for occluded objects was proposed and the occlusion phenomena caused by the frame-by-frame movement of commodity objects in the self-service cashier scenarios were interpreted as a gradual inference process.The tracking by detection(TBD)paradigm was used to propose occlusion rate and hierarchical information as auxiliary information for occlusion object association when the appearance information of the object was missing and the motion information was zero.The Kalman filtering algorithm was used to complete the association between multiple objects and different trajectories in the inference process of occlusion phenomena.The experimental results show that the proposed method can improve the tracking accuracy of commodity objects in self-service cashier scenarios and the occlusion rate and hierarchical information can effectively reduce the number of target trajectory fragments,with mutiple object tracking accuracy and identification F1 score reaching 80.7%and 80.4%respectively,10.6%and 9.8%higher than the ByteTrack model.
万方数据
维普
