CAJ | 학술논문

由于具备多尺度多方向特性,Gabor小波常常被用于纹理分析及特征提取等方面的研究,并在驾驶人疲劳状态监测技术领域中获得较多的应用.首先介绍了Gabor小波的基本原理及使用方法,然后结合实例重点讨论驾驶人面部特征点跟踪的技术环节,包括Gabor小波的参数确定方法和待跟踪点特征向量提取方法,最后利用最大相识原则确定了3个备选结果.针对不同的图像条件,提出了Gabor小波在实际应用时需要注意的合理建议.实践证明,跟踪算法运算结果准确率较高,效果非常理想,能够为驾驶人疲劳状态分析打下良好的基础.
유우구비다척도다방향특성,Gabor소파상상피용우문리분석급특정제취등방면적연구,병재가사인피로상태감측기술영역중획득교다적응용.수선개소료Gabor소파적기본원리급사용방법,연후결합실례중점토론가사인면부특정점근종적기술배절,포괄Gabor소파적삼수학정방법화대근종점특정향량제취방법,최후이용최대상식원칙학정료3개비선결과.침대불동적도상조건,제출료Gabor소파재실제응용시수요주의적합리건의.실천증명,근종산법운산결과준학솔교고,효과비상이상,능구위가사인피로상태분석타하량호적기출.
With multi-scale and multi-directional characteristics,Cabor wavelet is often used for texture analysis and feature extraction studies,and obtained more applications in the field of driver fatigue monitoring technology.First,the basic principles of Cabor wavelet and using methods are introduced,and then with examples technology segments of driver facial feature point tracking are focused on,including the method of determining Cabor wavelet parameters and the method of extracting the feature point's eigenvector.And finally the three candidates with the maximum similarity rules are identified.For the different image conditions,reasonable proposals in the actual application of Cabor wavelet are proposed.Practice has proved,the Cabor wavelet tracking algorithm has higher accuracy.The effect is very ideal,and lays a good foundation for the driver fatigue analysis.