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.
|Translated title of the contribution||Consistent Localization of Persons by Integrating Global and Local Observations|
|Number of pages||6|
|Journal||IEICE technical report|
|Publication status||Published - Aug 29 2010|