Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance
This addresses a critical security issue for smart cities, but it appears incremental as it builds on existing surveillance methods by incorporating traffic data.
The paper tackles the problem of optimizing camera placement for security surveillance in smart cities by leveraging vehicle traffic patterns, proposing a novel linkage between traffic data and surveillance strategies to improve coverage.
Security surveillance is one of the most important issues in smart cities, especially in an era of terrorism. Deploying a number of (video) cameras is a common surveillance approach. Given the never-ending power offered by vehicles to metropolises, exploiting vehicle traffic to design camera placement strategies could potentially facilitate security surveillance. This article constitutes the first effort toward building the linkage between vehicle traffic and security surveillance, which is a critical problem for smart cities. We expect our study could influence the decision making of surveillance camera placement, and foster more research of principled ways of security surveillance beneficial to our physical-world life. Code has been made publicly available.