What is it about?
This work proposes a coverage model for camera sensor networks that accounts for occluding objects using a novel sector division method. It modifies a graph-based approach to assess barrier coverage under occlusion and validates the method through simulations.
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Why is it important?
Barrier coverage ensures that critical areas are monitored effectively, which is crucial for security, surveillance, and safety applications. Accounting for occluders makes the coverage assessment realistic, preventing blind spots that could compromise monitoring and detection.
Perspectives
The paper presents a practical and innovative approach to realistic barrier coverage in camera networks by accounting for occlusions. Its combination of sector-based modeling and graph analysis strengthens both accuracy and applicability in real-world surveillance.
Amit Kumar
Ulsan National Institute of Science and Technology
Read the Original
This page is a summary of: Barrier Coverage in Camera Sensor Networks in the Presence of Occluding Objects, December 2023, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/robio58561.2023.10354909.
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