eprintid: 17820
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/78/20
datestamp: 2023-12-19 03:24:08
lastmod: 2023-12-19 03:24:08
status_changed: 2023-12-19 03:08:44
type: article
metadata_visibility: show
creators_name: Altahir, A.A.
creators_name: Asirvadam, V.S.
creators_name: Sebastian, P.
creators_name: Hamid, N.H.B.
creators_name: Ahmed, E.F.
title: Optimizing Visual Sensors Placement with Risk Maps Using Dynamic Programming
ispublished: pub
keywords: Cameras; Combinatorial optimization; Efficiency; Heuristic algorithms; Maps; Monitoring; Risk assessment; Risk perception; Security systems, Camera placement; Modeling; Optimisations; Placement problems; Security; Sensor placement; Surveillance cameras; Video surveillance; Visual sensor, Dynamic programming
note: cited By 3
abstract: Typically, optimizing the poses and placement of surveillance cameras is usually formulated as a discrete combinatorial optimization problem. The traditional aspects of solving the camera placement problem attempt to maximize the area monitored by the camera array and/or reduce the cost of installing a set of surveillance cameras. Several approximate optimization techniques have been proposed to locate near-optimal solution to the placement problem. Thus, related surveillance planning methods optimize the placement of visual sensors based on equally significance grids by not limiting to demand of coverage. This article explores the efficiency of the visual sensor placement based on a combination of two methods namely, a deterministic risk estimation for the risk assessment and a dynamic programming for optimizing the placement of surveillance cameras. That is, the enhanced efficiency of coverage is obtained by developing a prior grid assessment practice to stress on the security sensitive zones. Then, the dynamic programming algorithm operates on security quantified maps rather than uniform grids. The attained result is compared to the respective heuristic search algorithm outcomes. The overall assessment shows the reliability of the proposed methods' combinations. © 2001-2012 IEEE.
date: 2022
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120043858&doi=10.1109%2fJSEN.2021.3127989&partnerID=40&md5=8846d1ebd5eb88e4ccef76d851f9877b
id_number: 10.1109/JSEN.2021.3127989
full_text_status: none
publication: IEEE Sensors Journal
volume: 22
number: 1
pagerange: 393-404
refereed: TRUE
issn: 1530437X
citation:   Altahir, A.A. and Asirvadam, V.S. and Sebastian, P. and Hamid, N.H.B. and Ahmed, E.F.  (2022) Optimizing Visual Sensors Placement with Risk Maps Using Dynamic Programming.  IEEE Sensors Journal, 22 (1).  pp. 393-404.  ISSN 1530437X