# Robust Vehicle Detection and Counting Algorithm Employing a Convolution Neural Network and Optical Flow

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/robust-vehicle-detection-and-counting-algorithm-employing-a-convolution-neural/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ahmed Gomaa,Moataz M. Abdelwahab,Mohammed Abo‐Zahhad,Tsubasa Minematsu,Rin-ichiro Taniguchi |
| Citations | 72 |
| DOI | 10.3390/s19204588 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/19/20/4588/pdf?version=1571732925 |
| OpenAlex ID | https://openalex.org/W2981699264 |
| PMID | 31652552 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Moataz M. Abdelwahab](https://scholariq.org/researchers/moataz-m-abdelwahab/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

## Paper topics

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Autonomous Vehicle Technology and Safety](https://scholariq.org/topics/autonomous-vehicle-technology-and-safety/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.