Abstract
 Isovist Analyst--An ArcView Extension for Planning Visual Surveillance Track: Homeland Security/Homeland Defense Author(s): Sanjay Rana Visual surveillance (e.g., CCTV) is now an essential part of the urban infrastructure in modern cities. One of the primary aims of visual surveillance is to ensure maximum visual coverage of an area with the least number of visual surveillance installations, which is an NP-Hard maximal coverage problem. The planning of visual surveillance is a highly sensitive and costly task that has traditionally been done with a "gut-feel" process of establishing sight lines using CAD software. This paper demonstrates the ArcView extension Isovist Analyst, which automatically identifies a minimal number of potential visual surveillance sites that ensure complete visual coverage of an area. The paper proposes a Stochastical Rank and Overlap Elimination (S-ROPE) method, which iteratively identifies the optimal visual surveillance sites. S-ROPE method is essentially based on a "greedy" search technique, which has been improved by a combination of selective sampling strategy and random initialization. Sanjay Rana University College, London Civil and Environmental Engineering Department of Civil and Environmental Engineering Gower Street London , London WC1E 6BT GB Phone: 00442076797873 E-mail: s.rana@ucl.ac.uk |
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