科技通报
科技通報
과기통보
Bulletin of Science and Technology
2015年
10期
73-75
,共3页
机器人%人机交互%动作识别%图像
機器人%人機交互%動作識彆%圖像
궤기인%인궤교호%동작식별%도상
robot%interpersonal interaction%action recognition%image
有效的动作识别是实现机器人人机交互的关键,在进行人机交互过程中,采用图像识别的方法进行人体动作特征提取和感知,实现动作重构和识别,由于人体动作的随机性,导致大量的干扰动作,需要设计有效的干扰动作排除方法.提出一种基于局部线性嵌入人体动作重构的机器人人机交互中的干扰动作排除方法.建立特征空间背景全局性信息模型,对特征空间中的突变信息进行采集,采用图像处理方法实现对人体动作的特征模型构建,筛选出干扰动作特征,预测人体的动作点,构建全局非显著性二维流形集合矩阵,实现对干扰动作的排除,利用颜色梯度变化对像素点进行局部修正处理,进行干扰动作排除,可以提高对人体动作识别的抗干扰能力.仿真实验结果表明,采用该算法进行人机交互干扰动作排除和识别,能有效提高机器人人机交互的动作识别准确率,抗干扰能力强.
有效的動作識彆是實現機器人人機交互的關鍵,在進行人機交互過程中,採用圖像識彆的方法進行人體動作特徵提取和感知,實現動作重構和識彆,由于人體動作的隨機性,導緻大量的榦擾動作,需要設計有效的榦擾動作排除方法.提齣一種基于跼部線性嵌入人體動作重構的機器人人機交互中的榦擾動作排除方法.建立特徵空間揹景全跼性信息模型,對特徵空間中的突變信息進行採集,採用圖像處理方法實現對人體動作的特徵模型構建,篩選齣榦擾動作特徵,預測人體的動作點,構建全跼非顯著性二維流形集閤矩陣,實現對榦擾動作的排除,利用顏色梯度變化對像素點進行跼部脩正處理,進行榦擾動作排除,可以提高對人體動作識彆的抗榦擾能力.倣真實驗結果錶明,採用該算法進行人機交互榦擾動作排除和識彆,能有效提高機器人人機交互的動作識彆準確率,抗榦擾能力彊.
유효적동작식별시실현궤기인인궤교호적관건,재진행인궤교호과정중,채용도상식별적방법진행인체동작특정제취화감지,실현동작중구화식별,유우인체동작적수궤성,도치대량적간우동작,수요설계유효적간우동작배제방법.제출일충기우국부선성감입인체동작중구적궤기인인궤교호중적간우동작배제방법.건립특정공간배경전국성신식모형,대특정공간중적돌변신식진행채집,채용도상처리방법실현대인체동작적특정모형구건,사선출간우동작특정,예측인체적동작점,구건전국비현저성이유류형집합구진,실현대간우동작적배제,이용안색제도변화대상소점진행국부수정처리,진행간우동작배제,가이제고대인체동작식별적항간우능력.방진실험결과표명,채용해산법진행인궤교호간우동작배제화식별,능유효제고궤기인인궤교호적동작식별준학솔,항간우능력강.
Action recognition effectively is the key to realize the human robot interaction, in the process of interpersonal in-teraction, using image recognition method for human motion feature extraction and perception, action to achieve reconstruc-tion and recognition, due to the randomness of human body movements, resulting in a large number of interference action, need to design effective elimination method of interference action. Put forward the method for eliminating the interference action of human robot interaction locally linear embedding human motion reconstruction based on the. The establishment of characteristic background of global information model, to collect the abrupt information in feature space by using image pro-cessing method, the realization of building a feature model of human action, screening out the interference characteristics of the action, the action point prediction of the human body, the construction of non obvious 2-manifold set matrix realizing global, exclusion of the interference action, in pixels some local correction using the color gradient change, action to ex-clude interference, can improve the anti-interference ability of the human action recognition. Simulation results show that, using this algorithm for the man-machine interactive interference action shooting and recognition, action recognition robot can effectively improve the accuracy of interpersonal interaction, it has strong anti-interference ability.