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Counting Large Flocks of Birds Using Videos Acquired with Hand-Held Devices

机译：使用手持设备获取的视频对大群鸟类进行计数

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Due to the rapidly increasing quality of cameras and processing power in smartphones, citizen scientists can play a more significant role in environmental monitoring and ecological observations. Determining the size of large bird flocks, like those observed during migration seasons, is important for monitoring the abundance of bird populations as wildlife habitats continue to shrink. This paper describes a pilot study aimed at automatically counting birds in large moving flocks, filmed using hand-held devices. Our proposed approach integrates motion analysis and segmentation methods to cluster and count birds from video data. Our main contribution is the design of a bird counting algorithm that requires no human input, and functions well for videos acquired in non-ideal conditions. Experimental evaluation is performed using ground truth of manual annotations and bird counts, and shows promising results.
机译：由于相机质量和智能手机中处理能力的迅速提高，公民科学家可以在环境监测和生态观测中发挥更重要的作用。随着野生动植物栖息地的不断缩小，确定大型鸟群的大小（如在迁徙季节观察到的鸟群）对于监控鸟类种群的数量很重要。本文介绍了一项初步研究，旨在自动计数使用手持设备拍摄的大型运动禽群中的鸟类。我们提出的方法结合了运动分析和分割方法，以对视频数据中的鸟类进行聚类和计数。我们的主要贡献是设计了一种鸟类计数算法，该算法无需人工输入，并且对于在非理想条件下采集的视频也能很好地发挥作用。使用人工注释和鸟类计数的地面真相进行实验评估，并显示出可喜的结果。

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