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
2022
A Discretization-free Metric For Assessing Quality Diversity AlgorithmsA multi-scale generative design model that adapts the Wave Function…
2019
An Empirical Study of how Socio-Spatial Formations are influenced by Interior Elements and Displays in an Office ContextThe design of a workplace can have a profound impact on the…
2022
BeNTO: Beam Network Topology OptimizationWe present an optimization framework that allows designers and…
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