# Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/split-and-connect-a-universal-tracklet-booster-for-multi-object-tracking/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gaoang Wang,Yizhou Wang,Renshu Gu,Weijie Hu,Jenq–Neng Hwang |
| Citations | 57 |
| DOI | 10.1109/tmm.2022.3140919 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4226166791 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Yizhou Wang](https://scholariq.org/researchers/yizhou-wang/)

## 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/)
- [Fire Detection and Safety Systems](https://scholariq.org/topics/fire-detection-and-safety-systems/)

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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.