TITLE

Optimal Placement of Cameras in Floorplans to Satisfy Task Requirements and Cost Constraints

AUTHORS

Ugur Murat Erdem and Stan Sclaroff

AFFILIATIONS

Boston University, Computer Science Department
111 Cummington street
Boston, MA 02215

ABSTRACT

In many multi-camera vision systems the effect of camera
locations on the task-specific quality of service is ignored.
Researchers in Computational Geometry have proposed elegant
solutions for some sensor location problem classes. Unfortunately,
these solutions utilize unrealistic assumptions about the cameras'
capabilities that make these algorithms unsuitable for many
real-world computer vision applications. In this paper, the
general camera placement problem is first defined with assumptions
that are more consistent with the capabilities of real-world
cameras. Given a floorplan to be observed, the problem is to
efficiently compute a camera layout such that certain
task-specific constraints are met and with minimal camera setup
cost. A solution to this problem is obtained via binary
optimization over a discrete problem space. In preliminary
experiments the performance of the system is demonstrated with two
different practical experiments on a real floorplan.

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