Abstract

Unlike the conventional coverage issue in camera sensor networks, the airport surface surveillance brings new challenges for achieving the desirable coverage. One of the biggest challenges comes from the deployment of camera sensors, i.e. due to the consideration of safety, the cameras are always installed on the land-side facilities in airports. In this paper, we propose a coverage enhancing method by deploying additional cameras for the boundary deployed heterogeneous camera networks. We convert the area coverage problem to maximize the barrier coverage in the area of interest by a boundary deployed camera network. The proposed method is divided into three phases: detecting the uncovered gaps in barriers; finding the optimal positions for deploying additional cameras; and optimizing the orientation of the additional cameras to cover the uncovered gaps. The simulation results confirm that our algorithm has better performance in coverage improvement and additional camera usage compared with other related methods.

Highlights

  • Among the participants of the air transportation system, airports play a vital role for providing a safe and efficient transition of passengers and goods between the ground and the airspace, which must operate daily to ensure the takeoff and landing activities of aircrafts in a safe and orderly manner

  • With the development of communication and computation technology, camera networks are capable of providing wide field of views and automatically capture any movement in the region of interest with 24-7 service [2], which leads them to be very adaptive in the surveillance for airport surface

  • The coverage problem can be classified into three categories [4]: the area coverage, i.e. to cover a given a region of interest (ROI), the point coverage, i.e. to cover a set of special points, and the barrier coverage, i.e. to cover a barrier line in a ROI for detecting moving targets

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Summary

INTRODUCTION

Among the participants of the air transportation system, airports play a vital role for providing a safe and efficient transition of passengers and goods between the ground and the airspace, which must operate daily to ensure the takeoff and landing activities of aircrafts in a safe and orderly manner. In airport surface, fixed perspective cameras are the most commonly utilized cameras which have the fixed positions, orientations, and focal lengths This kind of cameras can provide fixed scene information about the airport and they are beneficial to cultivate the situational awareness for the operators or controllers. 2) We propose a method based on the geometric relationships between the barrier lines and sensing ranges of cameras to improve the coverage. We firstly detect uncovered gaps on barrier lines, and find the optimal possible positions for deploying additional cameras according to relationships between the barrier and the sensing model. The remainder of the paper is organized as follows: Section II summarizes the related work on area coverage as well as barrier coverage in camera networks.

RELATED WORK
MODEL AND PROBLEM DESCRIPTION
CAMERA SENSING MODEL
PROBLEM DESCRIPTION d AC
COVERAGE ENHANCING METHOD
B C deployed boundary
14 End for
PERFORMANCE EVALUATION
CONCLUSION
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