Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Decoding Directorial Style | Using Pose & Action Estimation to Analyze Theater Performances | Stanford HAI
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Your browser does not support the video tag.
eventSeminar

Decoding Directorial Style | Using Pose & Action Estimation to Analyze Theater Performances

Status
Past
Date
Wednesday, January 22, 2025 12:00 PM - 1:15 PM PST/PDT
Topics
Arts, Humanities

HAI Seminar with Michael Rau

Share
Link copied to clipboard!
Event Contact
Annie Benisch
abenisch@stanford.edu

Related Events

Empirical Methods in the Age of AI Conference
ConferenceOct 02, 2026
October
02
2026

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Event

Empirical Methods in the Age of AI Conference

Oct 02, 2026

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Confronting Our AI Future: Hope, Fear, and the Choices Ahead
ConferenceOct 28, 20269:00 AM - 6:00 PM
October
28
2026

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

Conference

Confronting Our AI Future: Hope, Fear, and the Choices Ahead

Oct 28, 20269:00 AM - 6:00 PM

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

Abstract:

At this seminar, hear how this research project employs machine learning and computer vision to analyze directorial styles and other aspects of theater performances, focusing on pose and action recognition. By applying these technologies to video recordings of theatrical productions, multiple performances by the same director are compared to identify distinctive patterns in choreography and staging. The approach combines both distant and close viewing techniques, enabling a more nuanced understanding of theatrical gestures and movements. Through this analysis, the abstract concept of directorial style is quantified.

Bridging the fields of performing arts, computer science, and digital humanities, this interdisciplinary project offers new insights into theatrical analysis and enhances the understanding of directorial signatures in live performance.

Speakers
Michael Rau
Assistant Professor of Theater and Performance Studies
Vijoy Abraham
Assistant Director and Head, Center for Interdisciplinary Digital Research Stanford Libraries
Peter Broadwell
Peter Broadwell
Digital Scholarship Research Developer, Center for Interdisciplinary Digital Research, Stanford University Libraries
Simon Wiles
Digital Scholarship Research Developer, Center for Interdisciplinary Digital Research, Stanford University Libraries