eprintid: 10275
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/02/75
datestamp: 2023-11-09 16:36:54
lastmod: 2023-11-09 16:36:54
status_changed: 2023-11-09 16:31:00
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 Sensor Coverage Overlaps for Multiview Surveillance Systems
ispublished: pub
keywords: Algorithms; Cameras; Flow visualization; Models; Monitoring; Optimization; Redundancy; Security systems; Sensor arrays; Sensors; Space surveillance, Discrete optimization problems; Dynamic programming techniques; Global greedy search algorithm; Layout; Two dimensional spaces; Video surveillance; Visual sensor; Visual surveillance systems, Dynamic programming
note: cited By 22
abstract: Modern surveillance systems rely on coverage overlapping to attain multi-viewing capabilities and to support coverage redundancy. This paper examines the coverage overlapping configurations in visual surveillance systems. This paper proposes a robust dynamic programming framework to optimize visual surveillance sensor coverage overlaps. Based on visual sensor parameters information, and the features of the area to be monitored, this paper uses a deterministic modeling approach to model the sensor coverage in a 2-D space. Then, the minimization and the maximization arrangements of the coverage overlapping are formulated as discrete optimization problems. The obtained solutions from the dynamic programming technique are evaluated with respect to local and global greedy search algorithms. The results reveal the feasibility of the proposed technique compared with the benchmarked optimization methods in terms of the amount of coverage redundancy. © 2001-2012 IEEE.
date: 2018
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045332754&doi=10.1109%2fJSEN.2018.2825781&partnerID=40&md5=19474f61ceedc359e6a31b86c8364c2a
id_number: 10.1109/JSEN.2018.2825781
full_text_status: none
publication: IEEE Sensors Journal
volume: 18
number: 11
pagerange: 4544-4552
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.  (2018) Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems.  IEEE Sensors Journal, 18 (11).  pp. 4544-4552.  ISSN 1530437X