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Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages7
ISBN (Electronic)978-1-7281-4004-9
DOIs
DateAccepted/In press - 20 Jun 2019
DatePublished (current) - 27 Jan 2020
EventIEEE/RSJ International Conference on Intelligent Robots and Systems - The Venetian Macao, Macau, China
Duration: 3 Nov 20198 Nov 2019
https://www.iros2019.org

Publication series

NameIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
PublisherIEEE
ISSN (Electronic)2153-0866

Conference

ConferenceIEEE/RSJ International Conference on Intelligent Robots and Systems
Abbreviated titleiROS 2019
CountryChina
CityMacau
Period3/11/198/11/19
Internet address

Abstract

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 delivering exploratory agency, and
(3) an InceptionV3-based biometric long-term recurrent convolutional network for individual animal identification.
We evaluate the performance of each of the components offline, and also online via real-world field tests comprising 147 minutes of autonomous low altitude flight in a farm environment over a dispersed herd of 17 heifer dairy cows. We report error free identification performance on this online experiment. The presented proof-of-concept system is the first of its kind. It represents a practical step towards autonomous biometric identification of individual animals from the air in open pasture environments for tag-less AI support in farming and ecology.

Event

IEEE/RSJ International Conference on Intelligent Robots and Systems

Abbreviated titleiROS 2019
Duration3 Nov 20198 Nov 2019
Location of eventThe Venetian Macao
CityMacau
CountryChina
Web address (URL)
Degree of recognitionInternational event

Event: Conference

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at https://ieeexplore.ieee.org/document/8968555. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 5.83 MB, PDF document

DOI

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