Name
Title | ||
|---|---|---|
Edge Computing-Enabled Crowd Density Estimation based on Lightweight Convolutional Neural Network |
Abstract | ||
|---|---|---|
In public areas, crowd stampedes and incidents generate huge negative impacts on public security. Accurate and efficient crowd density estimation is critical to monitor crowd status for developing evacuation strategies. The existing crowd density estimation methods are established based on complex deep-learning algorithms which are usually more accurate, but, on the other side, they require much m... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISC253183.2021.9562877 | 2021 IEEE International Smart Cities Conference (ISC2) |
Keywords | DocType | ISSN |
Costs,Convolution,Computational modeling,Image edge detection,Estimation,Real-time systems,Data models | Conference | 2687-8852 |
ISBN | Citations | PageRank |
978-1-6654-4919-9 | 2 | 0.37 |
References | Authors | |
0 | 5 | |