Publication | ACM International Joint Conference on Pervasive and Ubiquitous Computing 2019
Demo
Semantic Human Activity Annotation Tool Using Skeletonized Surveillance Videos
Abstract
Demo: Semantic Human Activity Annotation Tool Using Skeletonized Surveillance Videos
Bokyung Lee, Michael Lee, Pan Zhang, Alex Tessier, Azam Khan
ACM International Joint Conference on Pervasive and Ubiquitous Computing 2019
Human activity data sets are fundamental for intelligent activity recognition in context-aware computing and intelligent video analysis. Surveillance videos include rich human activity data that are more realistic compared to data collected from a controlled environment. However, there are several challenges in annotating large data sets: 1) inappropriateness for crowd-sourcing because of public privacy, and 2) tediousness to manually select activities of people from busy scenes.
Download publicationAssociated Autodesk Researchers
Related Resources
2025
Experiential space analysis: scoring tranquil, social, and explorative places in habitable buildingsA framework using spatial analysis to score the tranquil, social, and…
2023
Multi-split configuration design for fluid-based thermal management systemsThis work introduces a framework for automated exploration of optimal…
2022
Reconstructing editable prismatic CAD from rounded voxel modelsReverse Engineering a CAD shape from other representations is an…
2022
Path Counting for Grid-Based NavigationCounting the number of shortest paths on a grid is a simple procedure…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us