Much of recent action recognition research is based on
space-time interest points extracted from video using a Bag
of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
Abstract. We introduced an algorithm for sequence alignment, based on maximizing local space-time correlations. Our algorithm aligns sequences of the same action performed at diffe...
The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may...
— Using a linear decomposition of continuous phase modulated (CPM) signals with tilted-phase, sufficient conditions are derived under which M-ary partial-response CPM spacetime ...
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...