Skip to main content
Article thumbnail
Location of Repository

Multiple-Sensor Indoor Surveillance System

By Valery A. Petrushin, Omer Shakil, Damian Roqueiro, Gang Wei and Anatole V. Gershman

Abstract

This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consists of video cameras, infrared tag readers, a fingerprint reader and a PTZ camera. The system implements a Bayesian framework that uses noisy, but redundant data from multiple sensor streams and incorporates it with the contextual and domain knowledge. The paper describes approaches to camera specification, dynamic background modeling, object modeling and probabilistic inference. The preliminary experimental results are presented and discussed. 1

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.695
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://cs.uic.edu/~boxu/domino... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.