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Scalable target coverage in smart camera networks

Published: 31 August 2010 Publication History

Abstract

Smart camera networks are becoming increasingly popular in a number of application domains. In many applications, cameras are required to collaboratively track objects (e.g., habitat monitoring, or surveillance). In smart networks, camera coverage control is necessary to allow automatic tracking of targets without human intervention, allowing these systems to scale. In this paper, we consider the problem of automatic control of the cameras to maximize coverage of a set of targets. We formulate an optimization problem with the goal of maximizing the number of covered targets. Since the optimization problem is NP-hard, even for static targets, we propose a computationally efficient heuristic to reach near-optimal solution. Centralized solutions achieve excellent coverage, and can work well for small-scale networks, however they require significant communication cost for large scale networks. As a result, we propose an algorithm that spatially decomposes the network and computes optimal solutions for individual partitions. By decomposing the partitions in a way that minimizes dependencies between them, this approach results in coverage quality close to the centralized optimal solution, with an overhead and reaction time similar to those of distributed solutions.

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cover image ACM Conferences
ICDSC '10: Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
August 2010
252 pages
ISBN:9781450303170
DOI:10.1145/1865987
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 31 August 2010

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Author Tags

  1. coverage
  2. hierarchical
  3. optimization

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ICDSC '10
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ICDSC '10: International Conference on Distributed Smart Cameras
August 31 - September 4, 2010
Georgia, Atlanta

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Overall Acceptance Rate 92 of 117 submissions, 79%

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  • (2023)IoT-Based Surveillance Camera Distribution Using Triangle Geometry2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)10.1109/CoDIT58514.2023.10284365(2193-2198)Online publication date: 3-Jul-2023
  • (2019)Collective Event Detection by a Distributed Low-Cost Smart Camera NetworkCensorship, Surveillance, and Privacy10.4018/978-1-5225-7113-1.ch046(918-937)Online publication date: 2019
  • (2019)On the real-world applicability of state-of-the-art algorithms for the optimal camera placement problem2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)10.1109/CoDIT.2019.8820295(1103-1108)Online publication date: Apr-2019
  • (2018)Coverage Redundancy in Visual Sensor NetworksProceedings of the 12th International Conference on Distributed Smart Cameras10.1145/3243394.3243714(1-2)Online publication date: 3-Sep-2018
  • (2017)Optimizing Multi-Target Detection in Stochastic Environments with Active Smart Camera NetworksProceedings of the 11th International Conference on Distributed Smart Cameras10.1145/3131885.3131914(63-68)Online publication date: 5-Sep-2017
  • (2016)Collective Event Detection by a Distributed Low-Cost Smart Camera NetworkHandbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing10.4018/978-1-4666-8654-0.ch004(83-101)Online publication date: 2016
  • (2016)Recent Advances in Camera Planning for Large Area SurveillanceACM Computing Surveys10.1145/290614849:1(1-37)Online publication date: 23-May-2016
  • (2016)Global Coverage Maximization in PTZ-Camera Networks Based on Visual Quality AssessmentIEEE Sensors Journal10.1109/JSEN.2016.258417916:16(6317-6332)Online publication date: Aug-2016
  • (2015)Algorithm for Autonomous Reorganization of Mobile Wireless Camera Sensor Networks to Improve CoverageIEEE Sensors Journal10.1109/JSEN.2015.238926815:8(4428-4441)Online publication date: Aug-2015
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