计算机科学 ›› 2022, Vol. 49 ›› Issue (11A): 210800185-6.doi: 10.11896/jsjkx.210800185
徐玥1, 周辉2
XU Yue1, ZHOU Hui21 School of Computer Science, Technology, Xi’an Jiaotong University, Xi’an 710049, China
摘要: 手势识别是人机交互中极为重要的一项技术,具有较高的理论和实践探究价值。但由于手势所处背景的复杂性、个体的差异性等原因,手势识别成为一个富有挑战性的课题。因此迫切需要设计一种高效准确的手势识别算法,用以对目标手势进行有效的检测和识别。文中提出了一种改进的手势分割和手势特征提取方法,利用SVM分类器构建手势模型,对手势进行分类识别。在YCrCb颜色空间的基础上,融合OTSU阈值处理法选取阈值分割手势,提高分割的准确度;在边缘检测的基础上,使用椭圆傅里叶描述子拟合边缘,提取手势特征。实验结果表明,运用上述算法所建立的系统能够十分高效地提取手势特征信息,且在简单背景下对13种常见手势的平均识别准确率达到89.96%,能够基本满足对手势识别的精确度和稳定性的要求。
中图分类号:
[1]TAO Y F,HU P F,YANG W M.Computer vision technology in smart home [J].Chinese Journal of Artificial Intelligence,2020(5):30-38. [2]LUZHNICA G,SIMON J,LEX E,et al.A Sliding Window Approach to Natural Hand Gesture Recognition Using a Custom Data Glove[C]//2016 IEEE Symposium on 3D User nterfaces(3DUI).2016:8190. [3]DJAMILA D,LARABI S.User-Independent System for SignLanguage Finger Spelling Recognition[J].Journal of Visual Communication and Image Representation,2014,25(5):1240-1250. [4]DULAYATRAKUL J,PRASERTSAKUL P,KONDO T,et al.Robust Implement-ation of Hand Gesture Recognition for Remote Human-Machine Interaction[C]//2015 7th International Conference on Information Technology and Electrical Enginee-ring(ICITEE).2015:247-252. [5]MAHMUD H,HASAN M K,ABDULLAH-AL-TARIQ,et al.Recognition of Symbolic Gestures Using Depth Information[C]//Advances in Human Computer Interaction.2018:1-13. [6]HUSSAIN I,TALUKDAR A K,SARMA K K.Hand gesture recognition system with realtime palm tracking[C]//Annual IEEE India Conference(INDICON).2014. [7]WANG C,LIU Z,CHAN S C.Superpixel-Based Hand Gesture Recognition With Ki-nect Depth Camera[J].IEEE Transactions on Multimedia,2015,17(1):29-39. [8]FAGIANI M,PRINCIPI E,SQUARTINI S,et al.Signer Independent Isolated Italian Sign Recognition Based on Hidden Markov Models[J].Pattern Analysis and Applications,2015,18(2):385-402. [9]RENH B.Gesture segmentation and recognition in complexBackground [J].Acta Automatica Sinica,2002(2):256-261. [10]YEN C H,HUANG P Y,YANG P K,et al.An Intelligent Mo-del for Facial Skin Colour Detection[J/OL].International Journal of Optics,2020.https://doi.org/10.1155/2020/1519205. [11]WANG Y Y.Otsu Image Threshold Segmentation MethodBased on Seagull Optimization Algorithm[J].Journal of Phy-sics:Conference Series,2020,1650(3):032181. [12]GUO Y L.Efficiency analysis of edge detection algorithm based on OpenCV [J].Chinese Journal of Science and Technology Innovation,2019(1):87-88. [13]ZHANG J T,LI X Y,GUO S X,et al.Shape representation based on elliptic Fourier descriptors [J].Chinese Journal of Computer Engineering and Applications,2014,50(2):170-174. [14]ZHANG X Y,LI Q.Overview of SVM based classificationmethods[J].Chinese Journal of Sci-Tech Information,2008(28):344-345. [15]XU Y.Image acquisition for static gesture training set and test set[OL].https://github.com/Primezzz. |
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