CAJ | 학술논문

为了提高动态手势检测的精确度，本文将基于YCbCr颜色空间的混合高斯背景建模应用于动态手势识别中，并且提出手势阴影消除的有效算法。首先，对待检测视频帧通过抠图抠出手势图像，在YCb′Cr′颜色空间进行椭圆拟合，统计建立椭圆肤色模型，继而在YCbCr颜色空间进行混合高斯背景建模检测出动态手势，点乘原图像得到含有阴影的RGB手势图像，对检测出的含有阴影的手势图像利用已建立的椭圆肤色模型进行阴影消除，最后将手势图像连成视频序列。实验结果表明，该算法在复杂背景下进行动态手势的检测率可达91.4％，高出传统方法10％左右，能够满足动态手势检测基本要求，且具有较高的实用价值。
위료제고동태수세검측적정학도，본문장기우YCbCr안색공간적혼합고사배경건모응용우동태수세식별중，병차제출수세음영소제적유효산법。수선，대대검측시빈정통과구도구출수세도상，재YCb′Cr′안색공간진행타원의합，통계건립타원부색모형，계이재YCbCr안색공간진행혼합고사배경건모검측출동태수세，점승원도상득도함유음영적RGB수세도상，대검측출적함유음영적수세도상이용이건립적타원부색모형진행음영소제，최후장수세도상련성시빈서렬。실험결과표명，해산법재복잡배경하진행동태수세적검측솔가체91.4％，고출전통방법10％좌우，능구만족동태수세검측기본요구，차구유교고적실용개치。
To improve the accuracy of the dynamic gesture detection , Gaussian mixture background modeling based on YCbCr color space is applied to the dynamic gesture recognition , and the effective gesture shadow elimination algorithm is proposed .First of all , the gesture image is cut out from video frame to be detected , and space ellipse fitting is developed in YCb′Cr′color.Oval color model is established statistically , and then dynamic gesture in the YCbCr color space through Gaussian mixture background modeling is detected .Original image is dotted product to get the gesture RGB image containing shadows .The shadows contained in the detec-ted gestures image were eliminated by using ellopse color model , and finally we take gesture images together into a video sequence .Experimental results show that in the algorithm of dynamic gesture detection rate is 91.4% under a complex background , about 10%higher than that by the traditional methods .So it can meet the basic requirements of dynamic gesture detection , and has a high practical value .