# A new YOLO-based method for real-time crowd detection from video and performance analysis of YOLO models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-new-yolo-based-method-for-real-time-crowd-detection-from-video-and-performance/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mehmet Gündüz,Gültekin Işık |
| Citations | 92 |
| DOI | 10.1007/s11554-023-01276-w |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://link.springer.com/content/pdf/10.1007/s11554-023-01276-w.pdf |
| OpenAlex ID | https://openalex.org/W4318478414 |
| PMID | 36744218 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Gültekin Işık](https://scholariq.org/researchers/gultekin-is-k/)

## 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/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.