Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance
arXiv:1705.08508 · doi:10.1109/MIS.2018.223110904
Abstract
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.
arXiv commentIEEE Intelligent Systems
Cited by in corpus (8)
- Bounding Box Regression with Uncertainty for Accurate Object Detection
- Efficient Sensors Selection for Traffic Flow Monitoring: An Overview of Model-Based Techniques leveraging Network Observability
- Prediction-Tracking-Segmentation
- Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
- PDIWS: Thermal Imaging Dataset for Person Detection in Intrusion Warning Systems
- Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
- Green Security Game with Community Engagement
- Location-Aware Box Reasoning for Anchor-Based Single-Shot Object Detection