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
Link To Document :
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