Abstract
The study of vehicle counting is of importance, since it directly affects the analysis of vehicular traffic for the development of efficient road infrastructures for users and at the same time for the control of vehicular traffic. This work presents the proposal of an automatic counter system based on videos, for which we used the Python programming language and libraries such as OpenCV for system programming, whose techniques consisted of registration, detection and finally the counting of vehicles. In the experimentation, we collected and processed data in different scenarios in the main roads of Huancayo, in order to evaluate the counting framework. Therefore, the proposed vehicle counting system is able to count efficiently at 95% in scenarios suitable for its application.
| Original language | American English |
|---|---|
| Title of host publication | 2024 IEEE 14th Annual Computing and Communication Workshop and Conference, CCWC 2024 |
| Editors | Rajashree Paul, Arpita Kundu |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 695-700 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350360134 |
| DOIs | |
| State | Indexed - 2024 |
| Event | 2024 IEEE 14th Annual Computing and Communication Workshop and Conference, CCWC 2024 - Las Vegas, United States Duration: 8 Jan 2024 → 10 Jan 2024 |
Publication series
| Name | 2024 IEEE 14th Annual Computing and Communication Workshop and Conference, CCWC 2024 |
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Conference
| Conference | 2024 IEEE 14th Annual Computing and Communication Workshop and Conference, CCWC 2024 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas |
| Period | 8/01/24 → 10/01/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- road
- vehicle counting
- vehicle counting frame
- vehicle detection
