An image recognition system aimed at search activities using cyber search and rescue dogs

Solvi Arnold, Kazunori Ohno, Ryunosuke Hamada, Kimitoshi Yamazaki

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Disaster response presents major challenges for robotics and computer vision alike. The Cyber-Enhanced Canine Suit is a suit equipped with a camera, Global Navigation Satellite System (GNSS), and various other sensors, to be worn by search and rescue (SAR) dogs for the purpose of enhancing SAR dog operations. This paper presents an image recognition system for use in disaster scenarios and its integration with the Cyber-Enhanced Canine Suit platform. The system’s intended use is to spot personal items of missing individuals or other visual clues in video streams from various disaster response platforms. The system facilitates quick learning of targets from limited data and makes providing that data quick and easy. It also provides backtrack recognition functionality, to rapidly find novel targets in the seen footage. We evaluated the recognition system on footage gathered in the field, obtaining promising results. Integrated with the Cyber-Enhanced Canine Suit, the system can automatically plot detections of search targets onto a map display, to provide operators with a quick overview of what was seen where.

Original languageEnglish
Pages (from-to)677-695
Number of pages19
JournalJournal of Field Robotics
Volume36
Issue number4
DOIs
Publication statusPublished - 2019 Jun

Keywords

  • emergency response
  • learning
  • perception

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

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