[图书][B] Ice-Milk: Intelligent Crowd Engineering Using Machine-Based Internet of Things Learning and Knowledge Building

KJ Almalki - 2022 - search.proquest.com
The lack of proper crowd safety control and management often leads to spreading human
casualties and infectious diseases (eg, COVID-19). Many Machine Learning (ML) …

Current status and future directions for crowd management using machine learning

M Suthar, S Sharma, S Kumar - … of the 5th International Conference on …, 2023 - dl.acm.org
Crowd management is a critical aspect of public safety and efficient space utilization in
areas with high pedestrian traffic such as urban centers, sports stadiums, transportation …

SIMCD: SIMulated crowd data for anomaly detection and prediction

M SEDKY, A Bamaqa, T Bosakowski… - Expert Systems with …, 2022 - eprints.staffs.ac.uk
Smart Crowd management (SCM) solutions can mitigate overcrowding disasters by
implementing efficient crowd learning models that can anticipate critical crowd conditions …

[HTML][HTML] SIMCD: SIMulated crowd data for anomaly detection and prediction

A Bamaqa, M Sedky, T Bosakowski, BB Bastaki… - Expert Systems with …, 2022 - Elsevier
Smart Crowd management (SCM) solutions can mitigate overcrowding disasters by
implementing efficient crowd learning models that can anticipate critical crowd conditions …

[PDF][PDF] MACHINE VISION–ENABLED PEOPLE DETECTION AND COUNTING SYSTEM WITH REAL–TIMING ALERTING

KL Aparna, BSSP Kumar - junikhyatjournal.in
Managing crowds is essential to maintaining safety and security in public areas, especially
during significant events or gatherings. Effective crowd control and risk mitigation depend …

A Novel Approach for Crowd Analysis and Density Estimation by Using Machine Learning Techniques

V Kamra, A Vaishnav, A Verma… - … on Intelligent Systems …, 2024 - ieeexplore.ieee.org
In an era characterized by urbanization and densely populated events, the ability to
accurately analyze and estimate crowd density is paramount. From public safety measures …

An Artificial Intelligence Framework for Crowd Surveillance and Risk Mitigation: A Case Study

A Tomar, S Kumar, KK Verma - Available at SSRN 4631987, 2023 - papers.ssrn.com
Ensuring people's safety in public places is a significant challenge today for the
administration. In the past three years, the significance of automated crowd-monitoring …

Detecting the crowdedness of people by deep learning

SE Heng - 2021 - dr.ntu.edu.sg
Crowd management is a crucial aspect in the pandemic. Rapid spread of infection occurs in
areas with high human concentrations. Therefore, there is a need for controlling the number …

Cloud of things in crowd engineering: a tile-map-based method for intelligent monitoring of outdoor crowd density

A Alamri - Sensors, 2022 - mdpi.com
Managing citizen and community safety is one of the most essential services that future cities
will require. Crowd analysis and monitoring are also a high priority in the current COVID-19 …

HRD-GKV-CCNet: A Deep Learning-based Multitask Method for Human Crowd Management

A Amrish, S Shwetank - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
In a unified framework, we offer a multitasking method for crowd counting, classification, and
localization. As the detection, classification, counting, and localization tasks are highly …