In this work we present a research which integrates the Block Matching technique into the Human Action Recognition field. We propose a method to create a video descriptor composed of three main steps: Computation of displacement vectors between frames with a Variable Size Block Matching Algorithm, histogram representation of these vectors, and orientation tensor generation from the histogram. It is a promising approach for human action recognition since it is a simple method with low computational cost which achieves comparable results with stateof-the-art techniques.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.