Name
Title | ||
|---|---|---|
Estimating crowd density with edge intelligence based on lightweight convolutional neural networks |
Abstract | ||
|---|---|---|
•Computing on edge end improves the efficiency and reliability of data analysis.•A lightweight CNN model is efficient for real-time crowd density estimation on edge.•Better crowd density inference speed with a slight increase in estimation accuracy.•Equip the model in an IoT device to monitor the crowd density in a Subway Station. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.eswa.2022.117823 | Expert Systems with Applications |
Keywords | DocType | Volume |
Crowd density estimation,Lightweight convolutional neural network,Internet of things,Edge intelligence | Journal | 206 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuo Wang | 1 | 0 | 0.34 |
| Ziyuan Pu | 2 | 2 | 2.06 |
| Li Qian-Mu | 3 | 33 | 14.78 |
| Yinhai Wang | 4 | 292 | 39.37 |