Support for effective use of multiple video streams in security

  • Authors:

  • Andreas Girgensohn;Frank Shipman;Anthony Dunnigan;Thea Turner;Lynn Wilcox

  • Affiliations:

  • FX Palo Alto Laboratory, Inc., Palo Alto, CA;Texas A&M University, College Station, TX;FX Palo Alto Laboratory, Inc., Palo Alto, CA;FX Palo Alto Laboratory, Inc., Palo Alto, CA;FX Palo Alto Laboratory, Inc., Palo Alto, CA

  • Venue:
  • Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Video surveillance systems have become common across a wide number of environments. While these installations have included more video streams, they have been also placed in contexts with limited personnel for monitoring the video feeds. In such settings, limited human attention in combination with the quantity of video makes it difficult for security personnel to identify activities of interest. Furthermore, interrelationships among activities in different video streams are difficult to ascertain. We have developed applications to support security personnel both in analyzing recorded video and in monitoring live video streams. We use a variety of analysis techniques to determine unusual events and to highlight them in video images. Our main focus has been on visualization techniques and user interfaces that direct the attention of security personnel to the most important activities within recorded video or among several live video streams.