TY  - CONF
Y1  - 2017///
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9781509008452
A1  - Altahir, A.A.
A1  - Asirvadam, V.S.
A1  - Hamid, N.H.B.
A1  - Sebastian, P.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011968279&doi=10.1109%2fICIAS.2016.7824057&partnerID=40&md5=90a3b403cb355c2e1ca9f28d144ee234
AV  - none
N1  - cited By 6; Conference of 6th International Conference on Intelligent and Advanced Systems, ICIAS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125970
N2  - The problem of camera placement has established an interesting challenge for the visual surveillance researchers. The broad target of the placement is to maximize the covered area with some sort of priority of the coverage. However, most of the current approaches perform the optimization task under the maximization condition. In contrast, those methods are neglecting the prioritization of the covered regions. The attempt here is to address the prioritization to support security monitoring. In this work, we present an underlying scheme to focus on the important zones within the area of interest. Thus, the monitored space is classified into multi-risk sub-zones. The product of the classification is known as Risk Map. According to the generated multi-level risk map, a greedy algorithm optimization is applied to locate the local maxima among the search domain. We believe that the risk mapping technique implemented in this work is capable of reflecting the variations in the monitoring requirements and offers expressive options to perform the camera placement to efficiently observe the area under investigation. © 2016 IEEE.
TI  - Camera coverage prioritization to support security monitoring
ID  - scholars8972
KW  - Cameras; Maps
KW  -  Area of interest; Camera placement; Greedy algorithms; Optimization task; Prioritization; Risk maps; Security monitoring; Visual surveillance
KW  -  Security systems
ER  -