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This study proposes a method for identifying and estimating the distance to persons detected in videos captured by multiple moving spherical cameras in outdoor environments. Using GPS in each camera, we employ triangulation to estimate distances without predefined measurements. Two cameras with GPS were used to identify two persons, calculate the baseline from positional data, and perform triangulation. The detected persons were also equipped with GPS to provide ground truth for error evaluation. Our method successfully distinguished the target and estimated distances within a 1 m margin of error.

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Person Identification and Position Estimation with Multiple Moving Spherical Cameras

  • 会议论文

  • 发表日期：

    2025年

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  • Hiroki Oda,
  • Shohei Yokoyama

摘要

This study proposes a method for identifying and estimating the distance to persons detected in videos captured by multiple moving spherical cameras in outdoor environments. Using GPS in each camera, we employ triangulation to estimate distances without predefined measurements. Two cameras with GPS were used to identify two persons, calculate the baseline from positional data, and perform triangulation. The detected persons were also equipped with GPS to provide ground truth for error evaluation. Our method successfully distinguished the target and estimated distances within a 1 m margin of error.