A cognitive IoT smart surveillance framework for crowd behavior analysis

EB Varghese, SM Thampi - 2021 international conference on …, 2021 - ieeexplore.ieee.org
Smart and proactive surveillance using IoT framework has recently attracted a lot of attention
due to the impracticality of traditional monitoring to handle large amounts of data from …

TrafficMon: A Traffic Monitoring Suite

K Sharma, S Gupta, R Narla - … of the Third International Conference on …, 2023 - dl.acm.org
TrafficMon, a creation by Vehant Technologies, stands as a comprehensive solution for
diverse traffic applications through the utilization of camera-based technologies, harnessing …

Ultra large-scale crowd monitoring system architecture and design issues

Y Jiang, Y Miao, B Alzahrani, A Barnawi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
This article proposes a novel ultralarge-scale crowd monitoring system, namely, the ULCM
system. The ULCM system enables advanced sensing and networking technologies aimed …

[HTML][HTML] Timo—a dataset for indoor building monitoring with a time-of-flight camera

P Schneider, Y Anisimov, R Islam, B Mirbach… - Sensors, 2022 - mdpi.com
We present TIMo (T ime-of-flight I ndoor Mo nitoring), a dataset for video-based monitoring of
indoor spaces captured using a time-of-flight (ToF) camera. The resulting depth videos …

StreetLens: An In-Vehicle Video Dataset for Public Facility Monitoring in Urban Streets

AA Jabal, A Alfarrarjeh, S Alsaggar… - Proceedings of the 15th …, 2024 - dl.acm.org
Monitoring public facilities is essential for governments to establish safer, cleaner, and more
resilient cities, ultimately benefiting all citizens. One promising approach for public facility …

Towards automated surveillance: a review of intelligent video surveillance

R Vijeikis, V Raudonis, G Dervinis - Intelligent Computing: Proceedings of …, 2021 - Springer
The latest popularity of computer vision, artificial intelligence, and connectivity between the
systems and processes made a solid ground for the development of intelligent video …

Poster: Crowdsourcing for video traffic surveillance

H Wen, Q Li, Q Han, S Ge, L Sun - Proceedings of the 12th annual …, 2014 - dl.acm.org
Video traffic surveillance monitors traffic situations such as traffic jams, traffic accidents, or
running a red light. Although automatic traffic event detection has been studied for years …

High-frequency crowd insights for public safety and congestion control

K Nandakumar, S Blandin, L Wynter - arXiv preprint arXiv:1904.10180, 2019 - arxiv.org
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 …

[HTML][HTML] Estimating vehicle and pedestrian activity from town and city traffic cameras

L Chen, I Grimstead, D Bell, J Karanka, L Dimond… - Sensors, 2021 - mdpi.com
Traffic cameras are a widely available source of open data that offer tremendous value to
public authorities by providing real-time statistics to understand and monitor the activity …

[HTML][HTML] Three-stage deep learning framework for video surveillance

JW Lee, HS Kang - Applied Sciences, 2024 - mdpi.com
The escalating use of security cameras has resulted in a surge in images requiring analysis,
a task hindered by the inefficiency and error-prone nature of manual monitoring. In …