融合密集卷积与空间转换网络的手势识别方法

马杰; 张绣丹; 杨楠; 田亚蕾

doi:10.11999/JEIT170627

融合密集卷积与空间转换网络的手势识别方法

doi: 10.11999/JEIT170627

基金项目:

国家自然科学基金(61203245)，河北省自然科学基金(F2012202027)

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- 文章访问数: 1322
- HTML全文浏览量: 176
- PDF下载量: 221
- 被引次数: 0
出版历程
- 收稿日期: 2017-06-29
- 修回日期: 2017-11-28
- 刊出日期: 2018-04-19

Gesture Recognition Method Combining Dense Convolutional with Spatial Transformer Networks

Funds:

The National Natural Science Foundation of China (61203245), The Natural Science Foundation of Hebei Province (F2012202027)

摘要

摘要: 手势识别作为人机交互的方式之一，在人工智能日益发展的今天备受瞩目。针对手势旋转、平移、缩放等形变导致识别率偏低的问题，该文基于密集卷积网络(Densenet)与空间转换网络(STN)提出了一种新型的网络结构Densenet_V2，先利用空间转换网络对输入的样本和特征图进行空间变换和对齐，再利用密集卷积网络自动提取手势的有效特征，最后通过线性分类器对手势进行分类。为防止网络模型对样本数据集过度拟合，对网络进行训练时在损失函数中加入L2正则项以实现权重衰减。在Marcel手势库上进行多次实验。实验结果表明，Densenet_V2可以提高对静态形变手势的识别率。
- 手势识别 /
- 形变 /
- 密集卷积网络 /
- 空间转换网络 /
- L2正则项
Abstract: As an important milestone for the development of the artificial intelligence, gesture recognition enables the human-computer interaction and has received significantly growing research interest nowadays. However, the current technology for the gesture recognition has the low quality in the gesture rotation, translation and scaling. To solve the problem, a novel network structure named Densenet_V2 is proposed, and it is based on Dense Convolutional Networks (Densenet) and Spatial Transformer Networks (STN). Firstly, the input samples and feature maps are spatially transformed and aligned with the STN. Then the effective features of gestures are automatically extracted by using the Densenet. Finally, the linear classifier is adopted to classify the gestures. To prevent the network model from over-fitting the sample data set, the L2 regular term is involved into the loss function to achieve the weight decay when training the network. Experiments on the Marcel gesture database show that Densenet_V2 can improve the recognition rate of static deformation gestures.
- Gesture recognition /
- Deformation /
- Dense convolutional networks /
- Spatial Transformer Networks (STN) /
- L2 regular term

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参考文献(18)

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文章访问数: 1322
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融合密集卷积与空间转换网络的手势识别方法

doi: 10.11999/JEIT170627

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Gesture Recognition Method Combining Dense Convolutional with Spatial Transformer Networks

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融合密集卷积与空间转换网络的手势识别方法

doi: 10.11999/JEIT170627

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出版历程

Gesture Recognition Method Combining Dense Convolutional with Spatial Transformer Networks

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出版历程

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