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Found 4 papers, 0 papers with code
Multi-Type Activity Recognition in Robot-Centric Scenarios
Activity recognition is very useful in scenarios where robots interact with, monitor or assist humans.
Early Recognition of Human Activities from First-Person Videos Using Onset Representations
In this paper, we propose a methodology for early recognition of human activities from videos taken with a first-person viewpoint.
Spatio-temporal Depth Cuboid Similarity Feature for Activity Recognition Using Depth Camera
Local spatio-temporal interest points (STIPs) and the resulting features from RGB videos have been proven successful at activity recognition that can handle cluttered backgrounds and partial occlusions.
View invariant human action recognition using histograms of 3D joints
Our method is real-time and achieves superior results on the challenging 3D action dataset.
Ranked #3 on
Skeleton Based Action Recognition
on UWA3D
