摘要
为了提高对民族地区舞蹈人员的指导能力,提出基于轮廓模型和AdaBoost算法的民族地区舞蹈人员跟踪技术。构建民族地区舞蹈人员的视频跟踪扫描成像模型,检测民族地区舞蹈人员的视频图像边缘轮廓模型,根据初始轮廓分布进行民族地区舞蹈人员视频图像的增强处理,建立民族地区舞蹈人员跟踪图像的视觉感知模型,通过区域像素特征重构方法进行民族地区舞蹈人员图像跟踪的三维信息重建,采用AdaBoost算法完成民族地区舞蹈人员的轮廓检测和像素跟踪,提高民族地区舞蹈人员的像素跟踪和识别能力。仿真结果表明,采用该方法跟踪民族地区舞蹈人员的信息融合度及识别率较高,能有效提高民族地区舞蹈的训练指导能力。
An ethnic areas′dancer tracking technology based on the contour model and AdaBoost algorithm is proposed to improve the ability to guide the dancers in ethnic areas.The video tracking scanning imaging model for the dancers in ethnic areas is created to perform edge contour model detection for the video images of the dancers.The enhancement processing of video images of the dancers in ethnic areas is performed according to the initial profile distribution to establish the visual perception model of tracking images of the dancers in ethnic areas.The 3D information of image tracking of the dancers in ethnic areas is reconstructed by the method of regional pixel feature reconstruction.The AdaBoost algorithm is used for the contour detection and pixel tracking of the dancers to improve the pixel tracking and recognition abilities of the dancers in ethnic areas.The simulation results show that the method has high information fusion level and recognition rate,which effectively improves the training and guidance abilities of the dancers in ethnic areas.
作者
赖程程
梁麟
LAI Chengcheng;LIANG Lin(Guangxi Normal University,Guilin 541004,China;Guilin Wencui Software Development Co.,Ltd.,Guilin 541004,China)
出处
《现代电子技术》
北大核心
2020年第5期42-45,共4页
Modern Electronics Technique
基金
国家社会科学基金2016年“十三五”全国教育科学规划课题(CMA160166)。
