Human activity detection and recognition
Objectives:
The rapid growth in size of storage devices allows us to store hours, days or
even months of video data. Watching through and analyzing videos of such
length is no longer feasible. In order to summarize or index videos
(for search purposes) we need to develop algorithms which detect and classify
events happening in the video without human supervision. To identify and
describe various types of events we seek important features and ways
of extracting/learning them from the video data.
