• DocumentCode
    3564493
  • Title

    Minor Area Motion Imagery (MAMI) Dismount Tower Data challenge problems

  • Author

    Freeman, Andrew ; Cain, Lindsay ; Zelnio, Holly ; Watson, Edward ; Mendoza-Schrock, Olga

  • Author_Institution
    Sensor Directorate, Air Force Res. Lab., Wright-Patterson AFB, OH, USA
  • fYear
    2014
  • Firstpage
    224
  • Lastpage
    227
  • Abstract
    The ability to classify a dismount and its activity, is of interest for both military and non-military applications. This effort describes a database that is rich for dismount activity classification and is available to the public - the Minor Area Motion Imagery Dismount Tower Data (MAMI-DTD) Collection. The MAMI-DTD collection was gathered in the Summer of 2013 and contains several examples of dismount activity such as running, walking, walking with a load, etc. It is unique because it contains a variety of operating conditions including angular diversity. Furthermore, it contains multi-modal data - infared (IR), passive visible, etc. This paper provides a detailed description of the data collection and details some interesting challenges such as gender, activity, and hierarchical classification.
  • Keywords
    image classification; image motion analysis; MAMI-DTD collection; angular diversity; dismount activity classification; hierarchical classification; minor area motion imagery dismount tower data collection; multimodal data; Cameras; Global Positioning System; Image color analysis; Legged locomotion; Poles and towers; Security; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, NAECON 2014 - IEEE National
  • Print_ISBN
    978-1-4799-4690-7
  • Type

    conf

  • DOI
    10.1109/NAECON.2014.7045806
  • Filename
    7045806