# High-frequency crowd insights for public safety and congestion control

**Authors:** Karthik Nandakumar, Sebastien Blandin, Laura Wynter

arXiv: 1904.10180 · 2019-04-24

## TL;DR

This paper introduces real-time crowd analysis methods using CCTV footage to enhance public safety and optimize urban congestion management, demonstrating versatile applications across different urban scenarios.

## Contribution

It presents novel techniques for crowd insights extraction from CCTV footage, enabling real-time urban crowd behavior analysis for safety and transport efficiency.

## Key findings

- Effective crowd monitoring in real-time
- Applications in security and transport management
- Versatile use cases in urban environments

## Abstract

We present results from several projects aimed at enabling the real-time understanding of crowds and their behaviour in the built environment. We make use of CCTV video cameras that are ubiquitous throughout the developed and developing world and as such are able to play the role of a reliable sensing mechanism. We outline the novel methods developed for our crowd insights engine, and illustrate examples of its use in different contexts in the urban landscape. Applications of the technology range from maintaining security in public spaces to quantifying the adequacy of public transport level of service.

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/1904.10180/full.md

## References

11 references — full list in the complete paper: https://tomesphere.com/paper/1904.10180/full.md

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Source: https://tomesphere.com/paper/1904.10180