# RSINet: Rotation-Scale Invariant Network for Online Visual Tracking

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/rsinet-rotation-scale-invariant-network-for-online-visual-tracking/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yang Fang,Geun‐Sik Jo,Changhee Lee |
| Citations | 6 |
| DOI | 10.1109/icpr48806.2021.9412862 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3160113314 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Yang Fang](https://scholariq.org/researchers/yang-fang/)

## 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/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Video Analysis and Summarization](https://scholariq.org/topics/video-analysis-and-summarization/)

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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.