基于labview的确定性学习人体步态识别系统设计

2012 Third International Conference on Intelligent Control and Information Processing Pub Date : 2012-07-15 DOI:10.1109/ICICIP.2012.6391468

C. Chen, Cong Wang, Wei Zeng

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引用次数: 1

摘要

本文基于确定性学习理论提出了一种新的人类步态识别方法，构建了步态识别系统原型，并利用基于labview的平台展示了识别过程，提高了识别速度。结合识别方法和Labview软件的特点，实现了Labview图形化编程语言在人体步态识别系统中的应用。在NLPR步态数据库上验证了多模式下步态识别方法的有效性和快速性。采用Labview的并行编程方式和A840r-H曙光服务器的多核CPU，提高了识别速度。

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Labview-based human gait recognition system design via deterministic learning

In this paper, based on a newly presented approach for human gait recognition via deterministic learning theory, we construct a prototype for gait recognition system, display the recognition process by using the Labview-based platform and improve the recognition speed. Combined with the recognition approach and the characteristics of Labview software, the graphical programming language of Labview achieves application in human gait recognition system. The effectiveness and rapidness of the gait recognition approach under multi-pattern is verified on the NLPR gait database. The recognition speed is improved by using the parallel programming mode of Labview and the multi-core CPU of A840r-H Dawning Server.

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2012 Third International Conference on Intelligent Control and Information Processing

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