Human pose estimation using deep convolutional DenseNet hourglass network with intermediate points voting

Computer Science

• Pose Estimation 100%
• DenseNet 100%
• Experimental Result 50%
• Residual Neural Network 50%
• Computer Vision 50%
• Prediction Accuracy 50%
• Joint Probability 50%
• Self-Occlusion 50%
• Convolutional Neural Network 50%

Engineering

• Joints (Structural Components) 100%
• Pose Estimation 100%
• Experimental Result 50%
• State-of-the-Art Method 50%
• Computervision 50%
• Convolutional Neural Network 50%
• Natural Image 50%
• Joint Probability Distribution 50%