Method for tracking multiple objects by using multiple cameras based on temporal-spatial graph neural network utilizing geometric features for each of the multiple objects and object tracking device using the same

Abstract

There is provided a method for tracking multiple objects by using multiple cameras based on a temporal-spatial GNN utilizing geometric features for each of the multiple objects, including steps of: (a) acquiring, by an object tracking device, each of a (1_t_1)-th object descriptor to an (n_t_j)-th object descriptor; (b) calculating similarities of each of object descriptor pairs, and inputting a (1_t_1)-th node to an (n_t_j)-th node and spatial edges into the GNN, to thereby instruct the GNN to merge nodes corresponding to a same object, and thus generate a t-th spatial graph; and (c) generating correspondence information, and inputting the (t_1)-th node to the (t_k)-th node, the ((t−1)_1)-th node to the ((t−1)_p)-th node, and temporal edges into the GNN, to thereby instruct the GNN to merge nodes corresponding to the same object, and thus generate a t-th temporal-spatial graph, and finally, track the multiple objects within the specific space.