Memory-Based Attention Control for Activity Recognition at a Subway Station

  • Authors:
  • Karl F. MacDorman;Hiroshi Nobuta;Satoshi Koizumi;Hiroshi Ishiguro

  • Affiliations:
  • Indiana University;Wakayama University;Advanced Telecommunications Research Institute;Osaka University

  • Venue:
  • IEEE MultiMedia
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The authors discuss Digital City Surveillance, their multicamera system that uses a new calibration-free behavior recognition method formonitoring human activity at a subway station.