View : 29 Download: 0

Proactive patrol dispatch surveillance system by inferring mobile trajectories of multiple intruders using binary proximity sensors

Title
Proactive patrol dispatch surveillance system by inferring mobile trajectories of multiple intruders using binary proximity sensors
Authors
Jeong D.Cho M.Gnawali O.Lee H.
Ewha Authors
이형준
SCOPUS Author ID
이형준scopus
Issue Date
2016
Journal Title
Proceedings - IEEE INFOCOM
ISSN
0743-166XJCR Link
Citation
vol. 2016-July
Publisher
Institute of Electrical and Electronics Engineers Inc.
Indexed
SCOPUS scopus
Abstract
In this paper, we consider the problem of distributing patrol officers inside a building to maximize the probability of catching multiple intruders while minimizing the distance the patrol officers travel to reach the locations of the intruders. In our problem setting, the patrol officers are assisted by the information collected by a network of binary proximity sensors installed in the building. We claim that learning even common movement sub-patterns that originate due to the constrained physical environment helps to find likely locations of intruders where each major location is instrumented using a sensor node. We use a series of binary detection events to infer likely future trajectories in a real-world building. For a given set of detectable nodes on the inferred future trajectories, we aim to find the optimal patrol dispatch node location with high exposure to intruders' future appearance using patrol officers in limited numbers, ideally fewer than the intruders. In order to prevent possible crime and perform responsive defense against potential intruders, our algorithm also tries to reduce the travel distance from patrols current positions to their dispatched positions at the same time. We validate our proposed scheme in terms of detection accuracy by varying the number of intruders, robustness against missing events, and responsiveness compared to a practical baseline counterpart through real-world system experiments. © 2016 IEEE.
DOI
10.1109/INFOCOM.2016.7524369
ISBN
9781467399531
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE