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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-04-09
摘要
Over the past few decades, progress in animal tracking techniques, from large migrating mammals to 群集ing insects, has facilitated significant advances in 生態學, behavioural biology, and conservation science. Recently, we developed a technique to record and track flashing fireflies in their natural habitat using pairs of 360-degree cameras. The method, which has the potential to help identify and monitor firefly 族群s worldwide, was successfully implemented in various natural 群集s. However, camera calibration remained tedious and time-consuming. Here, we propose and implement an algorithm that calibrates the cameras directly from the data, requiring minimal user input. We explain the principles of the calibration-free algorithm, and demonstrate the ease and efficiency of its implementation. This
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