Breaking the Limits in Urban Video Monitoring: Massive Crowd Sourced Surveillance over Vehicles

TL;DR

This paper proposes a novel massive crowd-sourced vehicular video surveillance system to enhance urban monitoring, demonstrating its potential to outperform traditional static camera setups and integrate into future IoT infrastructures.

Contribution

It introduces a new system concept for crowd-sourced vehicle-based surveillance, detailing its architecture, implementation, and deployment, and provides a case study validating its effectiveness.

Findings

The vehicular system can effectively complement static surveillance.

Crowd-sourced surveillance can surpass traditional camera setups.

The system integrates well into IoT environments.

Abstract

Contemporary urban environments are in prompt need of means for intelligent decision-making, where a crucial role belongs to smart video surveillance systems. While existing deployments of stationary monitoring cameras already deliver notable societal benefits, the proposed concept of massive video surveillance over connected vehicles that we contribute in this paper may further augment these important capabilities. We therefore introduce the envisioned system concept, discuss its implementation, outline the high-level architecture, and identify major data flows, while also offering insights into the corresponding design and deployment aspects. Our conducted case study confirms the potential of the described crowd sourced vehicular system to effectively complement and eventually surpass even the best of today's static video surveillance setups. We expect that our proposal will become of value and integrate seamlessly into the future Internet-of-Things landscape, thus enabling a plethora of advanced urban applications.