Publication detail

Intruder Detection for Automated Access Control Systems with Kinect Device

MINÁŘ, J. ŘÍHA, K. TONG, H.

Original Title

Intruder Detection for Automated Access Control Systems with Kinect Device

English Title

Intruder Detection for Automated Access Control Systems with Kinect Device

Type

conference paper

Language

en

Original Abstract

The article deals with the problems of automated access control systems known as tailgating and piggybacking. This article focuses on detection of an unauthorized person, who is passing through a secure door after or with an authorized person. For this detection Kinect device and camera are used. The detection method is based on multilevel-thresholding of input image and subsequent analysis of objects shape in each level. Detection algorithm focuses on path tracking of persons in video sequences correct evaluation of tailgating or piggybacking.

English abstract

The article deals with the problems of automated access control systems known as tailgating and piggybacking. This article focuses on detection of an unauthorized person, who is passing through a secure door after or with an authorized person. For this detection Kinect device and camera are used. The detection method is based on multilevel-thresholding of input image and subsequent analysis of objects shape in each level. Detection algorithm focuses on path tracking of persons in video sequences correct evaluation of tailgating or piggybacking.

Keywords

Automated Access Control System, Kinect, Object Tracking, Piggybacking, Tailgating, Thresholding

RIV year

2013

Released

02.07.2013

ISBN

978-1-4799-0403-7

Book

36th International Conference on Telecommunications and Signal Processing (TSP)

Edition number

36

Pages from

826

Pages to

829

Pages count

4

Documents

BibTex


@inproceedings{BUT100590,
  author="Jiří {Minář} and Kamil {Říha} and Hejun {Tong}",
  title="Intruder Detection for Automated Access Control Systems with Kinect Device",
  annote="The article deals with the problems of automated access control systems known as tailgating and piggybacking.
This article focuses on detection of an unauthorized person, who is passing through a secure door after or with an authorized person. For this detection Kinect device and camera are used. The detection method is based on multilevel-thresholding of input image and subsequent analysis of objects shape in each level. Detection algorithm focuses on path tracking of persons in video sequences correct evaluation of tailgating or piggybacking.",
  booktitle="36th International Conference on Telecommunications and Signal Processing (TSP)",
  chapter="100590",
  howpublished="electronic, physical medium",
  year="2013",
  month="july",
  pages="826--829",
  type="conference paper"
}