Pattern recognition for humanitarian de-mining

P. Gader
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引用次数: 11

Abstract

Landmine detection has become a humanitarian problem of great magnitude. It is estimated that there are between 60 and 100 million landmines buried around the world and that someone is killed or injured by landmines every 20 minutes. Pattern recognition problems in this area are discussed. A brief overview of sensors used to collect data is given. Current pattern recognition methodologies in use are described. Future challenges are outlined.
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人道主义排雷模式识别
地雷探测已成为一个重大的人道主义问题。据估计,全世界埋有6 000万至1亿枚地雷,每20分钟就有一人被地雷炸死或炸伤。讨论了该领域的模式识别问题。简要概述了用于收集数据的传感器。描述了当前使用的模式识别方法。概述了未来的挑战。
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Pattern recognition for humanitarian de-mining Data clustering using evidence accumulation Facial expression recognition using pseudo 3-D hidden Markov models Speeding up SVM decision based on mirror points Real-time tracking and estimation of plane pose
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