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On the optimal placement of multiple visual sensors

Published: 27 October 2006 Publication History

Abstract

Many novel multimedia systems and applications use visual sensor arrays. An important issue in designing sensor arrays is the appropriate placement of the visual sensors such that they achieve a predefined goal. In this paper we focus on the placement with respect to maximizing coverage or achieving coverage at a certain resolution. We identify and consider four different problems: maximizing coverage subject to a given number of cameras (a) or a maximum total price of the sensor array (b), optimizing camera poses given fixed locations (c), and minimizing the cost of a sensor array given a minimally required percentage of coverage (d). To solve these problems, we propose different algorithms. Our approaches can be subdivided into algorithms which give a global optimum solution and heuristics which solve the problem within reasonable time and memory consumption at the cost of not necessarily determining the global optimum. We also present a user-interface to enter and edit the spaces under analysis, the optimization problems as well as the other setup parameters. The different algorithms are experimentally evaluated and results are presented. The results show that the algorithms work well and are suited for different practical applications. For the final paper it is planned to have the user interface running as a web service.

References

[1]
http://mmc36.informatik.uni-augsburg.de/mediawiki/index.php/Research.
[2]
Lingo -- modeling language and solver. LINDO Systems Inc, http://lindo.com/products/lingo/lingom.html.
[3]
K. Chakrabarty, S. S. Iyengar, H. Qi, and E. Cho. Grid coverage for surveillance and target location in distributed sensor networks. IEEE Transaction on Computers, 51(12):1448--1453, 2002.
[4]
X. Chen. Design of many-camera tracking systems for scalability and efficient resource allocation. PhD thesis, 2002.
[5]
U. Erdem and S. Sclaroff. Optimal placement of cameras in floorplans to satisfy task requirements and cost constraints. In OMNIVIS Workshop, 2004.
[6]
S. Fleishman, D. Cohen-Or, and D. Lischinski. Automatic camera placement for image-based modeling. Computer Graphics Forum, 19(2): 101--110, 2000.
[7]
H. Gonzalez-Banos and J. Latombe. Planning robot motions for range-image acquisition and automatic 3d model construction. In Proc. AAAI Fall Symp., AAAI Press, 1998.
[8]
E. Hörster and R. Lienhart. Approximating optimal visual sensor placement. In IEEE ICME2006, 2006.
[9]
E. Hörster and R. Lienhart. Calibrating and optimizing poses of visual sensors in distributed platforms. ACM Multimedia Systems Journal, Special Issue on Multimedia Surveillance System, to appear.
[10]
P. N. M. Berkelaar and K. Eikland. lpsolve: Open souce (mixed-integer) linear programming system. Eindhoven U. of Technology, http://groups.yahoo.com/group/lp\_solve/files/Version5.5/.
[11]
A. Mittal and L. Davis. Visibility analysis and sensor planning in dynamic environments. In ECCV04, pages Vol I: 175--189, 2004.
[12]
G. Olague and P. Mohr. Optimal camera placement for accurate reconstruction. PR, 35(4):927--944, 2002.
[13]
J. O'Rourke. Art Gallery Theorems and Algorithms. Oxford University Press, New York, 1987.
[14]
S. Sahni and X. Xu. Algorithms for wireless sensor networks. Intl. Journal on Distributed Sensor Networks, 1(1):35--56, 2005.
[15]
J. Wang and N. Zhong. Efficient point coverage in wireless sensor networks. Journal of Combinatorial Optimization, to appear.
[16]
H. Williams. Model building in mathematical programming. J. Wiley, New York, 1985. second edition.
[17]
Y. Zou and K. Chakrabarty. Sensor deployment and target localization in distributed sensor networks. Trans. on Embedded Computing Sys., 3(1):61--91, 2004.

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cover image ACM Conferences
VSSN '06: Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
October 2006
230 pages
ISBN:1595934960
DOI:10.1145/1178782
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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Published: 27 October 2006

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  1. camera arrays
  2. visual sensor placement

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MM06
MM06: The 14th ACM International Conference on Multimedia 2006
October 27, 2006
California, Santa Barbara, USA

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