Logistics vehicle tracking method based on intelligent vision

Abstract

The traditional logistics vehicle tracking method lacks the function of active identification and switch tracking. Therefore, in the presence of interference, there are some problems such as interference, hard recognition, handoff delay and tracking loss for the tracking of no difference vehicle. Therefore, a logistics vehicle tracking method based on intelligent vision is proposed. Firstly, the visual vehicle is segmented by visual vehicle, and then image feature of logistics vehicle is obtained, the visual intelligent tracking method based on region matching and Kalman filter is used to change the logistics vehicle without difference. In the handover process, the Kalman filter is used to predict the position of the vehicle, and the compensation switching delay is compensated. According to consistency of the vehicle running state and the corresponding lane, no-difference switching logistics vehicle tracking is realized. The experimental results show that the algorithm is not demanded for the initial background. The algorithm can automatically generate the current frame background regardless of the presence of the moving vehicle in the initial background. The logistics efficiency of the method is higher than 90%; error tracking rate is less than 1%.