# Multiple Object Tracking in Deep Learning Approaches: A Survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multiple-object-tracking-in-deep-learning-approaches-a-survey/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yesul Park,L. Minh Dang,Sujin Lee,Dongil Han,Hyeonjoon Moon |
| Citations | 50 |
| DOI | 10.3390/electronics10192406 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2079-9292/10/19/2406/pdf?version=1633833316 |
| OpenAlex ID | https://openalex.org/W3203870241 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Dongil Han](https://scholariq.org/researchers/dongil-han/)

## Paper journal

- [Electronics](https://scholariq.org/journals/electronics/)

## 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 Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Visual Attention and Saliency Detection](https://scholariq.org/topics/visual-attention-and-saliency-detection/)

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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.