Human Action Recognition by Principal Component Analysis of Motion Curves
Daniel Stephen Chivers · CORE Scholar (Wright State University) · 2012
Action Recognition by Principal Component Analysis of Motion Curves.Human action recognition is used to automatically detect and recognize actions performed by humans in a video.Applications include visual surveillance, human-computer interaction, and robot intelligence, to name a few.An example of a surveillance application is a system that monitors a large public area, such as an airport, for suspicious activity.In human-machine interaction, computers may be controlled by simple human actions.For List of SymbolsChapter 4 η Gaussian probability density function w Mixture model weight Σ Gaussian distribution covariance matrix X Pixel color µ Mean σ Variance k Distributions per pixel R Lightness threshold I n Pixel color at specified location in image Chapter