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Content Provider | IET Digital Library |
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Author | Jian, Chengfeng Li, Junjie |
Abstract | Focus on the field of dynamic gesture recognition, there is a problem of the action, is difficult to recognise when multiple fingertips move in a small range (rotation, grabbing), the authors proposed a method to get the recognition results with high robustness in real-time. Firstly, they proposed the concavity kernel accumulation algorithm (CKA) to cluster corners in an image. Secondly, they deem CKA as a region proposal generator and combined it with convolutional neural network to detect fingertips. Thirdly, they proposed the global nearest neighbour point matching algorithm to match fingertips from two frames. Finally, the long short-term memory is used in multi-trajectory recognition to get the results of gesture recognition. Experiments show that their method could recognise multi-trajectory gestures accurately, furthermore, it can run in real time (20 FPS) without graphics processing unit (GPU). |
Starting Page | 236 |
Ending Page | 244 |
Page Count | 9 |
ISSN | 17519659 |
Volume Number | 14 |
e-ISSN | 17519667 |
Issue Number | Issue 2, Feb (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/14/2 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1068 |
Journal | IET Image Processing |
Publisher Date | 2019-10-28 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | CKA Computer Vision And Image Processing Technique Concavity Kernel Accumulation Algorithm Convolutional Neural Nets Convolutional Neural Network Dynamic Hand Gesture Recognition Gesture Recognition Global Nearest Neighbour Point Matching Algorithm GPU Image Matching Image Recognition Knowledge Engineering Technique Long Short-term Memory Multiple Fingertip Detection Multitrajectory Gestures Multitrajectory Recognition Nearest Neighbour Method Neural Computing Technique Pattern Clustering Real-time Multitrajectory Matching Region Proposal Generator Statistics |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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