Object Tracking in the Video Stream by Means of a Convolutional Neural Network
Yu. N. Zolotukhin, Konstantin Yu. Kotov, A. A. Nesterov, E. D. Semenyuk · Optoelectronics Instrumentation and Data Processing · 2020
Abstract A new algorithm of 6-coordinate tracking of a moving object on a sequence of RGB-images that is based on the convolutional neural network is proposed. Training the neural network is carried out by using the synthesized data of the object with a dynamic model of motion. A Kalman filter is included into the feedback from the network output to its input to obtain a smoothed estimate of the object coordinates. Preliminary results of object tracking on synthesized images demonstrates the efficiency of the proposed approach.