Human Action Recognition with Sparse Autoencoder and Histogram of Oriented Gradients

Engineering

• Autoencoder 100%
• Computer Aided Design 50%
• Deep Learning 75%
• Experimental Result 25%
• Feature Extraction 25%
• Filtered Image 50%
• Filtration 50%
• Grayscale Image 25%
• Histogram 100%
• Human Action 100%
• Input Image 75%
• Natural Image 25%
• Phase Classification 25%
• Recognition Rate 25%
• Region of Interest 50%
• Test Sample 25%
• Texture Information 25%

Keyphrases

• Filter Kernel 100%
• Global Texture 33%
• Kernel Convolution 33%
• Multimedia University 66%
• Pedestrian Detectors 33%
• Sparse Autoencoder 100%
• Sparse Histogram 100%

Computer Science

• Kernel Convolution 50%
• Performing Action 50%