Logo

Optimizing Visual Surveillance Sensor Coverage Using Dynamic Programming

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.

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

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.

Item Type:Article
Impact Factor:cited By 1
Departments / MOR / COE:Division > Academic > Faculty of Engineering > Electrical & Electronic Engineering
ID Code:19473
Deposited By: Ahmad Suhairi
Deposited On:20 Apr 2018 05:59
Last Modified:20 Apr 2018 05:59

Repository Staff Only: item control page