步态识别及噪声对识别率的影响

2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) Pub Date : 2013-11-01 DOI:10.1109/ICSIMA.2013.6717927

Nahid A. Makhdoomi, T. Gunawan, M. H. Habaebi

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引用次数: 4

摘要

步态被定义为导致人体运动的协调的、循环的运动组合。步态识别是指通过一个人在图像序列中的走路方式来识别一个人。本文的目的是实现传统的步态识别算法，并展示被试在正常行走、背着包和穿着外套三种情况下平行于摄像机时的步态识别变化。在这项工作中，我们设计了一种新的方法，以相似度计算为目的，而不是传统的识别方法，其总识别率达到78.57%。此外，还引入了噪声来评估其对识别率的影响。

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Gait recognition and effect of noise on the recognition rate

Gait is defined to be the coordinated, cyclic combination of movements that result in human locomotion. Gait recognition refers to identify a human by the style/way, a person walks in image sequences. The objective of this paper is to implement the traditional gait recognition algorithm and to show the variation in gait recognition when subject is observed parallel to camera under three conditions-walking normal, carrying a bag and wearing a coat. In this work, we are devising a novel method for the purpose of similarity computation rather than the traditional recognition where 78.57% of overall recognition rate was obtained. Furthermore, noise is introduced to evaluate its effect on the recognition rate.

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2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

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