Multi-Modal Human Action Recognition in videos using LSTM with Feature Fusion
A. Bharathi,
M. Sri
Abstract:Over past few decades, Human action recognition (HAR) in RGB-Depth videos has been extensively studied on the availability of economical depth sensors. Presently, unimodal methods such as skeleton-based and RGB video-based have achieved significant advancements by utilizing progressively larger amounts of data. Nevertheless, there has been a challenge of extracting the temporal feature in RGB video, spatial feature in skeleton sequence. To solve this challenge, we propose Skeleton-RGB Feature Fusion LSTM (SRF-… Show more
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.