Shape and texture fused recognition of flying targets

Andrea Kovács, Ákos Utasi, Levente Kovács, Tamás Szirányi

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

1 Citation (Scopus)

Abstract

This paper presents visual detection and recognition of flying targets (e.g. planes, missiles) based on automatically extracted shape and object texture information, for application areas like alerting, recognition and tracking. Targets are extracted based on robust background modeling and a novel contour extraction approach, and object recognition is done by comparisons to shape and texture based query results on a previously gathered real life object dataset. Application areas involve passive defense scenarios, including automatic object detection and tracking with cheap commodity hardware components (CPU, camera and GPS).

Original languageEnglish
Title of host publicationSignal Processing, Sensor Fusion, and Target Recognition XX
DOIs
Publication statusPublished - Jun 29 2011
EventSignal Processing, Sensor Fusion, and Target Recognition XX - Orlando, FL, United States
Duration: Apr 25 2011Apr 27 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8050
ISSN (Print)0277-786X

Other

OtherSignal Processing, Sensor Fusion, and Target Recognition XX
CountryUnited States
CityOrlando, FL
Period4/25/114/27/11

Keywords

  • Object detection
  • Shape recognition
  • Target recognition
  • Tracking

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Kovács, A., Utasi, Á., Kovács, L., & Szirányi, T. (2011). Shape and texture fused recognition of flying targets. In Signal Processing, Sensor Fusion, and Target Recognition XX [80501E] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8050). https://doi.org/10.1117/12.883765