Compressive sensing (CS) is a new approach for the acquisition and recovery
of sparse signals and images that enables sampling rates significantly below
the classical Nyquist rate. Despite significant progress in the theory and
methods of CS, little headway has been made in compressive video acquisition
and recovery. Video CS is complicated by the ephemeral nature of dynamic
events, which makes direct extensions of standard CS imaging architectures and
signal models difficult.