Personnel Recognition and Gait Classification Based on Multistatic Micro-Doppler Signatures Using Deep Convolutional Neural Networks.
Zhaoxi ChenGang LiFrancesco FioranelliHugh D. GriffithsPublished in: IEEE Geosci. Remote. Sens. Lett. (2018)
Keyphrases
- convolutional neural networks
- pattern recognition
- human recognition
- feature extraction
- automatic recognition
- gait recognition
- object classification
- support vector
- classification accuracy
- decision trees
- object recognition
- human gait
- correct recognition
- recognition rate
- feature selection
- unsupervised learning
- pattern classification
- recognition accuracy
- recognition process
- feature vectors
- convolutional network
- feature fusion
- classification method
- information systems
- machine learning
- classification algorithm
- shape model
- image classification
- data processing
- training set
- gait features
- support vector machine
- biped robot
- feature set
- human movement
- human identification
- handwritten digits
- support vector machine svm
- human body
- recognition algorithm