Methods and Systems for Object Tracking
    428.
    发明公开

    公开(公告)号:US20230316775A1

    公开(公告)日:2023-10-05

    申请号:US18183014

    申请日:2023-03-13

    CPC classification number: G06V20/58 G06V10/82 G06V2201/07

    Abstract: The present disclosure relates to methods and systems for object tracking, for example for object detection and grid segmentation using recurrent neural networks. A computer implemented method for object tracking comprises the following steps carried out by computer hardware components: providing random values as a hidden state of a trained neural network for an initial time step, wherein the hidden state represents an encoding of sensor data acquired over consecutive time steps in a grid structure, wherein the hidden state further represents an offset indicating a movement of the object between the consecutive time steps; iteratively determining an updated hidden state by processing a present hidden state and present sensor data using the trained neural network; and determining object tracking information based on the updated hidden state.

Patent Agency Ranking