Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body.
Huu-Thu NguyenEon-Ho LeeSejin LeePublished in: Sensors (2020)
Keyphrases
- human body
- image classification
- pedestrian detection
- feature extraction
- pose estimation
- body parts
- motion capture
- convolutional neural networks
- image features
- human motion
- benchmark datasets
- feature vectors
- training set
- monocular images
- generative model
- three dimensional
- computer vision
- human motion analysis
- autonomous underwater vehicle
- machine learning