小区域运动图像(MAMI)下马塔数据挑战问题

A. Freeman, L. Cain, Holly Zelnio, Edward Watson, O. Mendoza-Schrock
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引用次数: 4

摘要

对下马及其活动进行分类的能力对军事和非军事应用都很有意义。这项工作描述了一个丰富的下马活动分类数据库,并向公众开放——小区域运动图像下马塔数据集(MAMI-DTD)。MAMI-DTD集合是在2013年夏天收集的,其中包含几个下马活动的示例,如跑步、步行、负重步行等。它是独一无二的,因为它包含了各种操作条件,包括角度多样性。此外,它还包含多模态数据-红外(IR),被动可见等。本文提供了数据收集的详细描述,并详细介绍了一些有趣的挑战,如性别、活动和分层分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minor Area Motion Imagery (MAMI) Dismount Tower Data challenge problems
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.
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