Logo

Visual Sensor Placement Based on Risk Maps

Altahir, A.A. and Asirvadam, V.S. and Hamid, N.H.B. and Sebastian, P. and Hassan, M.A. and Saad, N.B. and Ibrahim, R. and Dass, S.C. (2020) Visual Sensor Placement Based on Risk Maps. IEEE Transactions on Instrumentation and Measurement, 69 (6). pp. 3109-3117.

Full text not available from this repository.

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

Abstract

The research work on camera placement has focused on maximizing the coverage or minimizing the installation cost of video surveillance systems. Typical placement schemes mount surveillance cameras with no emphasis on the coverage demand divergences, which impacts the system's cost and efficiency. This paper addresses the camera placement problem based on an inverse modeling taxonomy. Thus, rather than performing the optimization on uniformly distributed grids, this paper introduces an underlying mechanism to elaborate the security sensitive zones prior to the coverage optimization. The outcome of the prioritization process is termed as Risk Maps. Obtained empirical results show the reliability of the placement using inverse modeling. Finally, the validation of the proposed placement scheme is carried out in a constraint environment. © 1963-2012 IEEE.

Item Type:Article
Impact Factor:cited By 2
Uncontrolled Keywords:Cameras; Maps; Security systems, Camera placement; Coverage optimizations; Installation costs; Inverse modeling; Placement scheme; Prioritization process; Surveillance cameras; Video surveillance systems, Inverse problems
ID Code:23283
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:19 Aug 2021 07:26
Last Modified:19 Aug 2021 07:26

Repository Staff Only: item control page