Multiscale Convolutional Neural Networks for Hand Detection
Unconstrained hand detection in still images plays an important role in many hand-related vision problems, for example, hand tracking, gesture analysis, human action recognition and human-machine interaction, and sign language recognition. Although hand detection has been extensively studied for dec...
Saved in:
| Main Authors: | Shiyang Yan, Yizhang Xia, Jeremy S. Smith, Wenjin Lu, Bailing Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2017/9830641 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Image Recognition Based on Multiscale Pooling Deep Convolution Neural Networks
by: Haitao Sang, et al.
Published: (2020-01-01) -
ECT Image Reconstruction Algorithm Based on Multiscale Dual-Channel Convolutional Neural Network
by: Lili Wang, et al.
Published: (2020-01-01) -
Remaining Useful Life Prediction of Rolling Bearings Based on Multiscale Convolutional Neural Network with Integrated Dilated Convolution Blocks
by: Ran Wang, et al.
Published: (2021-01-01) -
A Neural Network with Multiscale Convolution and Feature Attention Based on an Electronic Nose for Rapid Detection of Common Bunt Disease in Wheat Plants
by: Zhizhou Ren, et al.
Published: (2025-02-01) -
A fault diagnosis method for rolling bearing based on gram matrix and multiscale convolutional neural network
by: Xinyan Zhang, et al.
Published: (2024-12-01)