大局的観測と局所的観測の統合による複数人物の無矛盾な位置同定

We propose a technique for identifying the positions of multiple persons by integrating global observation from an environment camera and multiple local observations from wearable cameras. Specifically, the proposed technique will establish the optimal matching between candidate positions obtained from global observation with images from local observations from viewpoints of individual persons. Mathematically, the proposed technique formulates the matching problem as a weighted bipartite matching problem to have an optimal and consistent matching of global and local observations. In this paper, the principle of the proposed technique is described and then experimental results are shown for the evaluation of accuracy.