eprintid: 8629
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/86/29
datestamp: 2023-11-09 16:20:32
lastmod: 2023-11-09 16:20:32
status_changed: 2023-11-09 16:13:07
type: article
metadata_visibility: show
creators_name: Altahir, A.A.
creators_name: Asirvadam, V.S.
creators_name: Hamid, N.H.B.
creators_name: Sebastian, P.
creators_name: Saad, N.B.
creators_name: Ibrahim, R.B.
creators_name: Dass, S.C.
title: Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming
ispublished: pub
keywords: Cameras; Computational complexity; Monitoring; Optimization; Pinhole cameras; Security systems, Approximate solution; Dynamic programming algorithm; Pin-hole camera models; Placement optimization; Programming solutions; Video surveillance; Video surveillance systems; Visual sensor, Dynamic programming
note: cited By 30
abstract: Optimizing the visual sensors coverage to perform security monitoring tasks has an undeniable impact on the performance as well as the cost of video surveillance systems. The placement arrangement is an NP-hard problem, in which the main target is to seek an approximate solution. This paper addresses the placement of security cameras to maximize the total coverage of the camera network. The coverage of the visual sensor array is modeled descriptively using an enhanced pinhole camera model to obtain the layout of the field of view. The main contribution of the paper is to introduce a dynamic programming algorithm, which defines an optimal policy for solving the visual sensor coverage problem. To validate the proposed algorithm, we compared the outcomes of the dynamic programming algorithm with the existing benchmarking placement optimization techniques. The assessment reveals the effectiveness of the proposed dynamic programming solution to maximize the coverage for a set of predefined locations. © 2001-2012 IEEE.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028942024&doi=10.1109%2fJSEN.2017.2694385&partnerID=40&md5=dcc896060464a45bee85a6d19cfbd99e
id_number: 10.1109/JSEN.2017.2694385
full_text_status: none
publication: IEEE Sensors Journal
volume: 17
number: 11
pagerange: 3398-3405
refereed: TRUE
issn: 1530437X
citation:   Altahir, A.A. and Asirvadam, V.S. and Hamid, N.H.B. and Sebastian, P. and Saad, N.B. and Ibrahim, R.B. and Dass, S.C.  (2017) Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming.  IEEE Sensors Journal, 17 (11).  pp. 3398-3405.  ISSN 1530437X