Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems

Altahir Abdalla Altahir, Vijanth Sagayan Asirvadam, Nor Hisham B. Hamid, Patrick Sebastian, Nordin B. Saad, Rosdiazli B. Ibrahim, Sarat C. Dass

Research output: Contribution to journalArticle

6 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)4544-4552
Number of pages9
JournalIEEE Sensors Journal
Volume18
Issue number11
Early online date11 Apr 2018
DOIs
Publication statusPublished - 1 Jun 2018

Keywords

  • Modelling
  • visual sensor
  • video surveillance
  • camera
  • sensor array
  • algorithm

Cite this

Altahir, A. A., Asirvadam, V. S., Hamid, N. H. B., Sebastian, P., Saad, N. B., Ibrahim, R. B., & Dass, S. C. (2018). Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems. IEEE Sensors Journal, 18(11), 4544-4552. https://doi.org/10.1109/JSEN.2018.2825781