• Published 2019

Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference. Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, China

@inproceedings{Andrew2019AnimalBI,
  title={Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference. Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, China},
  author={William P. Andrew and Colin Greatwood and Tilo Burghardt},
  year={2019}
}
This paper describes a computationally-enhanced M100 UAV platform with an onboard deep learning inference system for integrated computer vision and navigation. The system is able to autonomously find and visually identify by coat pattern individual Holstein Friesian cattle in freely moving herds. We propose an approach that utilises three deep convolutional neural network architectures running live onboard the aircraft: (1) a YOLOv2-based species detector, (2) a dual-stream deep network… CONTINUE READING

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