CAJ | 학술논문

对工业生产线上规程化操作动作进行手势跟踪与动作识别研究。首先选取YCbCr颜色模型进行手部区域识别，获得完整手部区域；然后利用Euclidean距离变换计算相邻2个手部运动轨迹点之间的距离和各帧图像的手部运动速度；再利用扩展有限状态机模型实现手部运动的分割，将分割的多个动作与建立的动作模板匹配，利用Hausdorff距离匹配法判断匹配结果的准确性，实现手部动作的识别。实验结果表明：该手部动作识别算法对背景干扰和摄像头轻微震动具有一定的抗噪能力，有较高的动作识别正确率，能够满足现实工作环境下的应用需求。
대공업생산선상규정화조작동작진행수세근종여동작식별연구。수선선취YCbCr안색모형진행수부구역식별，획득완정수부구역；연후이용Euclidean거리변환계산상린2개수부운동궤적점지간적거리화각정도상적수부운동속도；재이용확전유한상태궤모형실현수부운동적분할，장분할적다개동작여건립적동작모판필배，이용Hausdorff거리필배법판단필배결과적준학성，실현수부동작적식별。실험결과표명：해수부동작식별산법대배경간우화섭상두경미진동구유일정적항조능력，유교고적동작식별정학솔，능구만족현실공작배경하적응용수구。
The gesture tracking and motion recognition of production line disciplined operational motion in industrial engineering was researched in this paper .Through the color analysis of hands skin , the YCbCr color model was used to recognize the hand ar-ea, the pretreatment so as threshold segmentation for video image was used in YCbCr color model to obtain the complete hand are -a;the Euclidean distance transform method was used to calculate the distance between the adjacent two hand trajectory points and speed of each frame image ’ s hand movements , then the extended finite state machine model was used to realize the segmentation of hand movements , matching the segmented motions and established motion templates , and the Hausdorff distance matching method was used to determine the accuracy of the matching results , the recognition of hand gesture was realized .Experimental re-sults show that the hand gesture recognition algorithm has certain anti-noise ability for background interference and camera vibra-tions, and has higher recognition accuracy , can satisfy the application requirements of real work environment .