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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.

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Associated Autodesk Researchers

Michael Lee

Principal Research Engineer

Pan Zhang

Former Autodesk

Alex Tessier

Director, Simulation, Optimization & Systems
View all researchers

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