Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery

@inproceedings{Hong2019ApplicationOD,
  title={Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery},
  author={Suk-Ju Hong and Yunhyeok Han and Sang-Yeon Kim and Ah-Yeong Lee and Ghiseok Kim},
  booktitle={Sensors},
  year={2019}
}
Wild birds are monitored with the important objectives of identifying their habitats and estimating the size of their populations. Especially in the case of migratory bird, they are significantly recorded during specific periods of time to forecast any possible spread of animal disease such as avian influenza. This study led to the construction of deep-learning-based object-detection models with the aid of aerial photographs collected by an unmanned aerial vehicle (UAV). The dataset containing… CONTINUE READING
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