Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 220-223.doi: 10.11896/j.issn.1002-137X.2017.6A.050

Previous Articles     Next Articles

Gesture Recognition Based on Weighted Feature Distance

WANG Yan, XU Shi-yi and CHEN Hai-yun   

  • Online:2017-12-01 Published:2018-12-01

Abstract: Gesture recognition based on computer vision has become a hot research topic.But due to the influence of illumination,environment and other factors,method based on single feature can’t identify gestures well.Therefore a method combined Hu invariant moments with number of fingertips as features of static gestures was proposed.After preprocessing the collected static gesture images,a kind of skin color model was applied to segment gesture,then the numbers of fingertips were detected by centroid distance method,and then the Hu values of the extracted gesture contour were calculated.Next the number of fingertips and Hu values were weighted respectively as gesture features.Finally the template matching was used to recognize gestures by weighting and fusing feature distance.Experimental results show that the proposed way can obtain a higher recognition rate of ten kinds of gestures than traditional Hu invariant moments feature recognition method and fingertip detection recognition method.

Key words: Static gesture,Skin color model,Centroid distance method,Fingertip,Hu invariant moments,Template matching

[1] BANDSAL M,SAXENA S,DESALE D,et al.Dynamic Gesture Recognition Using Hidden Markov Model in Static Background[J].International Journal of Computer Science Issues,2011,8(1):391-398.
[2] BADI H.Recent methods in vision-based hand gesture recognition[J].International Journal of Data Science and Analysis,2016,1(2):77-87.
[3] RAN W,YU Z,LIU M,et al.Real-time visual static hand gesture recognition system and its FPGA-based hardware implementation[C]∥International Conference on Signal Processing.IEEE,2015:434-439.
[4] LEITE D A T Q,DUARTE J C,OLIVEIRA J C,et al.A System to Interact with CAVE Applications Using Hand Gesture Recognition from Depth Data[C]∥Virtual and Augmented Reality.IEEE,2014:246-253.
[5] YUN L,ZHANG L,ZHANG S.A Hand Gesture Recognition Method Based-on Multi-feature Fusion and Template Matching[J].Procedia Engineering,2012,29(4):1678-1684.
[6] 张立志,黄菊,孙华东,等.局部特征和全局特征结合的HMM静态手势识别[J].计算机科学,2016,3(11A):247-251.
[7] PRIYAL S P,BORA P K.A study on static hand gesture using moments[C]∥International Conference on Signal Processing and Communications.IEEE,2010:1-5.
[8] 杨文姬,孔令富.使用视觉注意和多特征融合的手势检测与识别[J].小型微型计算机系统,2015,36(3):610-615.
[9] HE L W,XU Y,CHEN Y,et al.Recent Advance on Mean Shift Tracking:A Survey [J].International Journal of Image & Graphics,2013,13(3).
[10] QURESHI A,MARVI M,UNAR M A,et al.Performance ana-lysis of skin classifiers in RGB and YC b C r,color space[C]∥International Multi Topic Conference.IEEE,2014:223-228.
[11] HASAN M M,MISHRA P K.HSV Brightness Factor Matchingfor Gesture Recognition System[J].International Journal of Image Processing,2010,4(5):456-467.
[12] CREPALDI D,MORONE E A,RDUINO L S,et al.Morpholo-gical Processing of Printed Nouns and Verbs:Cross-class Pri-ming Effects[J].Journal of Cognitive Psychology,2014,26(4):433-460.
[13] M M,JACKIN I M.Wireless Vision Based Mobile Robot Control Using Hand Gesture Recognition Through Perceptual Color Space[C]∥International Conference on Advances in Computer Engineering.IEEE,2010:95-99.
[14] BADI H,HUSSEIN S H,KAREEM S A.Feature extractionand ML techniques for static gesture recognition[J].Neural Computing and Applications,2014,25(3):733-741.
[15] JIA S,WOO C.Face Detection and Extraction Based on Ellipse Clustering Method in YCbCr Space [J].Journal of Korea Multimedia Society,2010,13(6):833-840.
[16] LIN Y H,CHEN C H.Template matching using the parametric template vector with translation,rotation and scale invariance [J].Pattern Recognition,2008,41(7):2413-2421.
[17] HOSNY K M.Extract and fast computation of geometric moments for gray level images [J].Applied Mathematics & Computation,2007,189(2):1214-1222.
[18] BHUYAN M K,KAR M K,NEOG D R.Finger tips detection for two handed gesture recognition[C]∥ International Con-ference on Graphic and Image Processing.SPIE,2011.
[19] 易靖国,程江华,库锡树.视觉手势识别综述[J].计算机科学,2016,3(6A):103-107.
[20] WANG L,ZHANG Y,FENG J.On the Euclidean distance of images[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2005,27(8):1334-1339

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!