Abstract. We address human action recognition from multi-modal video data involving articulated pose and RGB frames and propose a two-stream approach.
Human Activity Recognition with Pose-driven Attention to RGB - Inria
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We address human action recognition from multi-modal video data involving articulated pose and RGB frames and propose a two-stream approach.
Human Activity Recognition with Pose-driven Attention to RGB
www.semanticscholar.org › paper › Hum...
Spatiotemporal Self-Attention Mechanism Driven by 3D Pose to Guide RGB Cues for Daily Living Human Activity Recognition · Computer Science, Engineering. Journal ...
We address human action recognition from multi-modal video data involving articulated pose and RGB frames and propose a two-stream approach.
Finally, the RGB video stream is combined with the fused body pose stream to give a novel end-to-end deep model for effective human activity recognition.
Sep 29, 2020 · Abstract:This article proposes a novel attention-based body pose encoding for human activity recognition that presents a enriched ...
This repository contains the official TensorFlow implementation of the paper "Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action ...
Missing: driven | Show results with:driven
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Oct 2, 2020 · Abstract—This article proposes a novel attention-based body pose encoding for human activity recognition that presents.
Human Action Recognition: Pose-Based Attention Draws Focus to Hands ... Human Activity Recognition with Pose-driven Attention to RGB · Fabien Baradel ...
Most current action recognition methods heavily rely on appearance information by taking an RGB sequence of en- tire image regions as input.