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
AutoBrep: Autoregressive B-Rep Generation with Unified Topology and GeometryAn autoregressive foundation model for direct B-Rep generation that…
2025
Experiential space analysis: scoring tranquil, social, and explorative places in habitable buildingsA framework using spatial analysis to score the tranquil, social, and…
2024
A hyperreduced reduced basis element method for reduced-order modeling of component-based nonlinear systemsThis method balances accuracy and computational speed through adaptive…
2023
Extracting Design Knowledge from Optimization Data: Enhancing Engineering Design in Fluid Based Thermal Management SystemsExtracting knowledge from optimization data in multi-split thermal…
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