CAJ | 학술논문

步态识别是一种根据人行走方式的不同来进行身份识别的生物特征识别技术。本文构建了一个FPGA控制的步态识别系统，实现了对人的自动、准确、实时的识别。系统的功能为：在简单背景下，从视频序列中分离运动目标，计算其特征值，并与步态数据库数据进行逐一比对，进行鉴别。采用构建的系统对中科院自动化研究所的步态数据进行识别，达到了90％的识别率。
보태식별시일충근거인행주방식적불동래진행신빈식별적생물특정식별기술。본문구건료일개FPGA공제적보태식별계통，실현료대인적자동、준학、실시적식별。계통적공능위：재간단배경하，종시빈서렬중분리운동목표，계산기특정치，병여보태수거고수거진행축일비대，진행감별。채용구건적계통대중과원자동화연구소적보태수거진행식별，체도료90％적식별솔。
Gait recognition is a biometrics, which is to identify one＇s identity according to the different ways of walking. This new access gait recognition system based on FPGA control, involves of auto, exact, real-time identify recognition. In a simple background, the moving objects are separated from the input test video sequence, then the characteristic value is calculted, and gait database data for identification is compared. In the end, this technique is applied to CASIA gait data-set, which achieves probability of correct recognition of 90%.