References
[1]. Abrams, S., Allen, P.K., and Tarabanis, K.A. (1993), Dynamic sensor planning, IEEE International Conference
on Intelligent Autonomous Systems, pp. 206-215.
[2]. Bodor, R., Schrater, P., and Papanikolopoulos, N.
(2005), Multi-camera positioning to optimize task
observability, Advanced Video and Signal Based
Surveillance (AVSS), pp. 552-557.
[3]. Chen, X. and Davis, J. (2000), Camera placement
considering occlusion for robust motion capture,
Standford Computer Science Technical Report, CS-TR-
2000-07.
[4]. Chen, X. and Davis, J. (2008), An occlusion metric for
selecting robust camera configurations, Machine Vision
and Applications, 19(4), pp. 217-222.
[5]. Chvatal, V. (1975), A combinatorial theorem in plane
geometry, Journal of Combinatorial Theory Series B, 18
pp. 39-41.
[6]. Ercan, A.O., Yang, D.B., Gamal, A.E., and Guibas,
L.J. (2006), Optimal placement and selection of camera
network nodes for target localization, IEEE International
Conference on Distributed Computing in Sensor Systems.
[7]. Erdem, U.M. and Sclaroff, S. (2002), Automated
placement of cameras in a floor plan to satisfy taskspecific
constraints, Department of Computer Science,
Boston University.
[8]. Fisk, D. (1978), A short proof of Chvatal's watchman
theorem, Journal of Combinatorial Theory Series, 24 374.
[9]. Fleishman, S., Cohen-Or, D., and Lischinski, D.
(1999), Automatic camera placement for image-based
modeling, Proceedings of Pacific Graphics, pp.12-20.
[10]. Grimmett, G.R. and Stirzaker, D.R. (1992), Probability
nd and Random Processes, 2 Edition, Clarendon Press,
Oxford.
[11]. Isler, V., Kannan, S., and Daniilidis, K. (2004), Vcdimension
of exterior visibility, IEEE Transactions on Pattern
Analysis and Machine Intelligence, 26(5) pp. 667-671.
[12]. Lee, D. and Lin, A. (1986), Computational
complexity of art gallery problems, IEEE Transactions on
Information Theory, 32 pp. 276-282.
[13]. Marengoni, M., Draper, B., Hanson, A., and
Sitaraman, R. (1996), Placing observers to cover a polyhedral terrain in polynomial time, IEEE Workshop on Applications of Computer Vision (WACV).
[14]. Nelson, B. and Khosla, P.K. (1994), Integrating sensor
placement and visual tracking strategies, IEEE
International Conference on Robotics and Automation,
2, pp. 1351-1356.
[15]. Nelson, B. and Khosla, P.K. (1994), The resolvability
ellipsoid for visual servoing, IEEE Conference on
Computer Vision and Pattern Recognition, pp. 829-832.
[16]. Nelson, B. and Knosla, P.K. (1993) Increasing the
tracking region of an eye-in-hand system by singularity
and joint limit avoidance, IEEE International Conference
on Robotics and Automation, 3, pp. 418-423.
[17]. O'Rourke, J. (1987), Art Gallery Theorems and
Algorithms, Oxford University Press, New York, 1987.
[18]. Sharma, R. and Hutchinson, S. (1997), Motion
perceptibility and its application to active vision-based servo control, IEEE Transactions on Robotics and
Automation, 13(4), pp. 607-617.
[19]. Yabuta, K. and Kitazawa, H. (2008), Optimum
camera placement considering camera specification
for security monitoring, IEEE International Symposium on
Circuits and Systems, pp. 2114-2117.
[20]. Zhao, J. and Cheung, S.-C. (2007), Multi-camera
surveillance with visual tagging and generic camera
placement, IEEE International Conference Distributed
Smart Cameras, pp.259-266.
[21]. Zhao, J. and Cheung, S.-C. (2009), Optimal Visual
Sensor Planning, IEEE International Symposium on Circuits
and Systems.
[22]. Zhao, J., Cheung, S.-C., and Nguyen, T. (2008),
Optimal camera network configurations for visual
tagging, IEEE Journal on Selected Topics of Signal
Processing, 2(4).
