scholar.google.com › citations
The proposed device has a built-in algorithm that is optimized to quantify and detect the human flow direction in indoor spaces such as hallways. Results have ...
Abstract—Monitoring crowds in public environments is of great value for understanding human routines and managing crowd routes in indoor or outdoor ...
IoT Crowd Sensor State/Flow Diagram. Fig. 7. WebApp Frontend. Crowd Quantification with Flow Direction Estimation: a Low-Cost IoT-enabled Solution.
Crowd density estimation can help transportation planners and engineers to understand how many people are using a particular transportation system or route, ...
Oct 9, 2024 · Therefore, this study aims to provide an in-depth analysis of the most recent advancements in recognizing abnormal behaviors in large crowds.
Missing: Quantification | Show results with:Quantification
Crowd Quantification with Flow Direction Estimation: A Low-. Cost IoT-Enabled Solution ... Cost IoT-Enabled Solution. Lu, Jeng Hau. GCAIoT-. D4-S2.4. 142.
Jul 1, 2022 · Here, we present a method that incorporates crowd observation data to forecast a large crowd flow, including thousands of individuals, using a ...
Crowd Quantification with Flow Direction Estimation: a Low-Cost IoT-enabled Solution ... quantify and detect the human flow direction in indoor spaces such ...
In this study, an instrumental model that deals with the data analysis aspect of WiFi probing is proposed, which introduces methods to compare the trajectories ...
Sep 28, 2024 · Mobile crowd sensing is a new paradigm that uses sensors on smart devices to collect data from the environment and transmit them to the cloud ...
Missing: Quantification | Show results with:Quantification