# Optical flow-based segmentation of moving objects for mobile robot navigation using pre-trained deep learning models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optical-flow-based-segmentation-of-moving-objects-for-mobile-robot-navigation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Artúr I. Károly,Renáta Nagyné Elek,Tamás Haidegger,Károly Széll,Péter Galambos |
| Citations | 16 |
| DOI | 10.1109/smc.2019.8914359 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2989777804 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Renáta Nagyné Elek](https://scholariq.org/researchers/renata-nagyne-elek/)

## 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/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)

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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.