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
Towards Certification-Ready Designs: A Research Investigation of Digital Twins for High-Performance EngineeringDevelopment and validation of a digital twin for a sensor-equipped UAV…
2022
BeNTO: Beam Network Topology OptimizationWe present an optimization framework that allows designers and…
2017
Simulating the Behavior of Building Occupants using Multi-agent Narratives: A Preliminary Study in a Generic Hospital WardIn architectural design it is of cardinal importance to anticipate how…
2022
Neon: A Multi-GPU Programming Model for Grid-based ComputationsWe present Neon, a new programming model for grid-based computation…
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