Research of Intelligent Stride Characteristics Analysis Inspection System

Jin Peng; Xing Wu; Pan Nan; Yi Liu

doi:10.4028/www.scientific.net/AMM.644-650.1149

Paper Titles

Research on Uncertainty Evaluation of the Measuring Results for Low-Scale Brinell Hardness Block
p.1132

Rough Set-Based Data Analysis in Converter Fault Diagnosis for Hybrid Power Substation
p.1136

Research and Application of Facility Agriculture Monitoring and Early Warning Technology
p.1141

Research of Multi-Channel Vehicle Brake Performance Testing System
p.1144

Research of Intelligent Stride Characteristics Analysis Inspection System
p.1149

Research of Image Edge Detection Algorithms Based on Android Platform
p.1154

Design and Realization of Test System for UAV Aeronautic Electronic Equipment
p.1158

Network Intrusion Detection Data Processing Research Based on Concept Clustering AOI Algorithm
p.1162

Sequential Detection Using an Ordered Statistics Method
p.1166

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Research of Intelligent Stride Characteristics...

Research of Intelligent Stride Characteristics Analysis Inspection System

Abstract:

In order to narrow the range of suspects and clear direction of investigation quickly, a smart stride characteristics test system was designed and development. The system design concept and concrete implementation of the key technologies such as image mosaic, PCA-based stride characteristics extraction and membership test were all introduced in detail. Actual stride characteristics test experiments show the effectiveness of the system.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1149-1153

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1149

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Online since:

September 2014

Authors:

Jin Peng, Xing Wu, Pan Nan*, Yi Liu

Keywords:

Image Mosaic, Membership Test, PCA, Stride Characteristics

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* - Corresponding Author

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