基于不同光照条件的人体手势识别新方法  

Human gesture recognition new approach based on different light conditions

作　　者：陆霖霖[1] 江春华[1] 郝宗波[1] 

机构地区：[1]电子科技大学信息与软件工程学院,成都610054

出　　处：《计算机应用》2015年第A01期273-277,291,共6页journal of Computer Applications

摘　　要：针对不同光照条件下基于摄像头的人体手势识别所存在的识别率、实时性和鲁棒性等问题,提出一种基于不同光照条件的人体手势识别新方法。首先利用传统图像处理技术与光线补偿、色彩平衡、对比度受限自适应直方图均衡(CLAHE)进行视频帧预处理,然后运用基于Haar分类器的前期检测与基于YCr Cb肤色模型的后期验证进行手势识别分类,并提取质心特征进行方向跟踪判断,最终完成静态与动态实时人体手势识别任务。实验结果表明,在几种不同光照条件下,实时识别率达90%以上,且在手势扭曲、侧对与旋转一定程度下仍具良好识别效果。In order to improve the recognition rate, real-time performance and robustness of human gesture recognition under different light conditions based on camera, a new human gesture recognition approach based on different light conditions was proposed. Traditional image processing technique, light compensation, color balance and Contrast Limited Adaptive Histogram Equalization （ CLAHE） methods were applied to deal with the pre-processing of the video frame; earlier detection based on Haar classifier and post verification based on YCrCb skin color model were used for gesture recognition and classification; then the centroid features were extracted and tracked to determine direction; finally, the task of static and dynamic real-time human gesture recognition was achieved. The experimental result show that real-time recognition rate is above 90% under condition of several different lights, and good recognition effect is maintained with twisted, sided and rotated gestures to some extent.

关 键 词：人体手势识别 光线补偿 色彩平衡 对比度受限自适应直方图均衡 Haar分类器 YCrCb肤色模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]