Person identification from aerial footage by a remote-controlled drone.
Person identification from aerial footage by a remote-controlled drone.
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DOI：
10.1038/s41598-017-14026-3
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发表时间：
2017-10-19
影响因子：
4.6
通讯作者：
Tummon HM
中科院分区：
文献类型：
--
作者：
Bindemann M;Fysh MC;Sage SSK;Douglas K;Tummon HM
军队和警察使用遥控无人机（或无人驾驶飞行器；UAV）进行监视，这表明无人机拍摄的镜头可以为人员识别提供足够的信息。这项研究表明，当目标不熟悉时（实验 1）、当目标熟悉并且可能的身份数量受到上下文限制时（实验 2）以及使用移动镜头时（实验 3），无人机捕获的图像中的人员识别效果很差。性别、种族和年龄等个人信息也很难从无人机拍摄的镜头中获取（实验 4）。这些发现表明，此类镜头为人员识别提供了特别差的媒介。这可能反映了此类镜头的质量不佳，其受到无人机飞行高度和速度、观看距离、不利有利位置和环境条件等因素的影响。
Remote-controlled aerial drones (or unmanned aerial vehicles; UAVs) are employed for surveillance by the military and police, which suggests that drone-captured footage might provide sufficient information for person identification. This study demonstrates that person identification from drone-captured images is poor when targets are unfamiliar (Experiment 1), when targets are familiar and the number of possible identities is restricted by context (Experiment 2), and when moving footage is employed (Experiment 3). Person information such as sex, race and age is also difficult to access from drone-captured footage (Experiment 4). These findings suggest that such footage provides a particularly poor medium for person identification. This is likely to reflect the sub-optimal quality of such footage, which is subject to factors such as the height and velocity at which drones fly, viewing distance, unfavourable vantage points, and ambient conditions.
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