Field Testing of Vision-Based Surveillance System for Ramp Area Operations

Han, Lu; Kwan, Jason; Fong, Andrew; Cheng, Victor H. L.

doi:10.2514/6.2018-3981

2018 Aviation Technology, Integration, and Operations Conference 2018

DOI: 10.2514/6.2018-3981

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Field Testing of Vision-Based Surveillance System for Ramp Area Operations

Lu Han

Jason Kwan

Andrew Fong

et al.

Abstract: The objective of this research is to develop a Vision-BAsed Surveillance System (VBASS) for ramp areas in airports. Conventional surveillance systems such as RADAR, Automated Dependent Surveillance-Broadcast (ADS-B), and Airport Surface Detection Equipment-Model X (ASDE-X) cater to taxiways and runways. Without suffering from multi-path errors, vision-based surveillance technologies are based on surveillance cameras located at certain vantage points in the ramp area. To illustrate the functionality of the VBAS… Show more

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Coverage Enhance in Boundary Deployed Camera Sensor Networks for Airport Surface Surveillance

Wang

Han

2021

IEEE Access

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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.

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Coverage Enhance in Boundary Deployed Camera Sensor Networks for Airport Surface Surveillance

Wang

Han

2021

IEEE Access

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Two-Stage Framework for Specialty Vehicles Detection and Classification: Toward Intelligent Visual Surveillance of Airport Surface

Ding,

Zhou,

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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Intelligent Surveillance of Airport Apron: Detection and Location of Abnormal Behavior in Typical Non-Cooperative Human Objects

Li,

Dong

2024

Applied Sciences

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Most airport surface surveillance systems focus on monitoring and commanding cooperative objects (vehicles) while neglecting the location and detection of non-cooperative objects (humans). Abnormal behavior by non-cooperative objects poses a potential threat to airport security. This study collects surveillance video data from civil aviation airports in several regions of China, and a non-cooperative abnormal behavior localization and detection framework (NC-ABLD) is established. As the focus of this paper, the proposed framework seamlessly integrates a multi-scale non-cooperative object localization module, a human keypoint detection module, and a behavioral classification module. The framework uses a serial structure, with multiple modules working in concert to achieve precise position, human keypoints, and behavioral classification of non-cooperative objects in the airport field. In addition, since there is no publicly available rich dataset of airport aprons, we propose a dataset called IIAR-30, which consists of 1736 images of airport surfaces and 506 video clips in six frequently occurring behavioral categories. The results of experiments conducted on the IIAR-30 dataset show that the framework performs well compared to mainstream behavior recognition methods and achieves fine-grained localization and refined class detection of typical non-cooperative human abnormal behavior on airport apron surfaces.

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Field Testing of Vision-Based Surveillance System for Ramp Area Operations

Cited by 3 publications

References 4 publications

Coverage Enhance in Boundary Deployed Camera Sensor Networks for Airport Surface Surveillance

Coverage Enhance in Boundary Deployed Camera Sensor Networks for Airport Surface Surveillance

Two-Stage Framework for Specialty Vehicles Detection and Classification: Toward Intelligent Visual Surveillance of Airport Surface

Intelligent Surveillance of Airport Apron: Detection and Location of Abnormal Behavior in Typical Non-Cooperative Human Objects

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