NDLI: Mobile terminal gesture recognition based on improved FAST corner detection

Content Provider	IET Digital Library
Author	Jian, Chengfeng Xiang, Xiaoyu Zhang, Meiyu
Abstract	Mobile terminal gesture recognition is an extreme challenge, not only because its limited computing resource make it complicated to identify feature points but also the complex background can easily affect the recognition result. This study proposes a gesture recognition method based on improved features from accelerated segment test (FAST) corner detection. First, in order to eliminate the effects of complex background and light, the intersection of the two frame images is obtained through background subtraction and the multi-colour space to realise the detection of the hand. Second, in order to improve the performance of the algorithm, an improved FAST corner detection method combined with the back propagation neural network (BPNN) is proposed in accordance with the characteristics of fingertips. Subsequently, the feature points are screened by method of non-maximum suppression. Finally, gesture recognition is realised by matching feature points. Experimental results illustrate that this method has strong anti-interference ability in complex background, and it is good at performance.
Starting Page	991
Ending Page	997
Page Count	7
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 6, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5959
Journal	IET Image Processing
Publisher Date	2019-02-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Accelerated Segment Test Corner Detection Background Subtraction Backpropagation Complex Background Computer Vision And Image Processing Technique Edge Detection Feature Extraction Feature Point Gesture Recognition Gesture Recognition Method Image Colour Analysis Image Matching Image Recognition Image Segmentation Improved FAST Corner Detection Method Improved Feature Mobile Terminal Gesture Recognition Neural Nets Optical, Image And Video Signal Processing Recognition Result
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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