Event Recognition in Airborne Motion Imagery

Citation

Burns, J. and Connolly, C. and Thomere, J. and Wolverton, M. Event Recognition in Airborne Motion Imagery, in Capturing and Using Patterns for Evidence Detection – Papers from the AAAI Fall Symposium, AAAI Press, 2006.

Abstract

A system is described that detects high-level events of interest in airborne motion imagery. The system starts by automatically extracting the tracks of movers from the imagery. It then uses tracks combined with context (cultural features, for example) to automatically detect low-level events. High-level events can be defined as patterns of low level events. Exact or partial matches to these patterns of interest can be presented to an operator for further analysis.


Read more from SRI

  • surgeons around a surgical robot

    The SRI research behind today’s surgical robotics

    Intuitive’s da Vinci 5 system represents a major leap in robotic-assisted medicine. It all started at SRI, which continues to advance teleoperation technologies.

  • a collage of digital graphs

    A banner year for quantum

    SRI-managed QED-C’s annual report on quantum trends captures an industry accelerating rapidly from technical promise toward major global impact.

  • ICE Cube containing SRI’s aerogel experiment, photographed prior to launch. Source: Aerospace Applications North America

    An SRI carbon capture experiment launches into space

    By synthesizing carbon-absorbing aerogels in microgravity, SRI research will give us a rare glimpse into how these materials could be radically improved.