Video face recognition against a watch list

Jehanzeb Abbas, Charlie K. Dagli, Thomas S Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to a large increase in the video surveillance data recently in an effort to maintain high security at public places, we need more robust systems to analyze this data and make tasks like face recognition a realistic possibility in challenging environments. In this paper we explore a watch-list scenario where we use an appearance based model to classify query faces from low resolution videos into either a watch-list or a non-watch-list face. We then use our simple yet a powerful face recognition system to recognize the faces classified as watch-list faces. Where the watch-list includes those people that we are interested in recognizing. Our system uses simple feature machine algorithms from our previous work to match video faces against still images. To test our approach, we match video faces against a large database of still images obtained from a previous work in the field from Yahoo News over a period of time. We do this matching in an efficient manner to come up with a faster and nearly real-time system. This system can be incorporated into a larger surveillance system equipped with advanced algorithms involving anomalous event detection and activity recognition. This is a step towards more secure and robust surveillance systems and efficient video data analysis.

Original languageEnglish (US)
Title of host publicationOptics and Photonics for Counterterrorism and Crime Fighting III
DOIs
StatePublished - Dec 1 2007
EventOptics and Photonics for Counterterrorism and Crime Fighting III - Florence, Italy
Duration: Sep 18 2007Sep 20 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6741
ISSN (Print)0277-786X

Other

OtherOptics and Photonics for Counterterrorism and Crime Fighting III
Country/TerritoryItaly
CityFlorence
Period9/18/079/20/07

Keywords

  • Face recognition
  • Surveillance
  • Video
  • Watchlist

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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