Abstract
The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. A new dataset was created; the ground truth has been withheld to prevent overfitting. New performance measures and evaluation protocols have been created along with a new toolkit and an evaluation server. Results of the presented 47 trackers indicate that modern tracking frameworks are well-suited to deal with convergence of short-term and long-term tracking and that multiple and single target tracking can be considered a single problem. A leaderboard, with participating trackers details, the source code, the datasets, and the evaluation kit are publicly available at the challenge website1.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) |
| Publisher | IEEE |
| Pages | 1788-1810 |
| Number of pages | 23 |
| ISBN (Electronic) | 9798350307443 |
| ISBN (Print) | 9798350307450 |
| DOIs | |
| Publication status | Published - 25 Dec 2023 |
| Event | 2023 International Conference on Computer Vision - Paris Convention Centre, Paris, France Duration: 2 Oct 2023 → 6 Oct 2023 https://iccv2023.thecvf.com/ |
Publication series
| Name | International Conference on Computer Vision Workshops (ICCV Workshops) |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2473-9936 |
| ISSN (Electronic) | 2473-9944 |
Conference
| Conference | 2023 International Conference on Computer Vision |
|---|---|
| Abbreviated title | ICCV 2023 |
| Country/Territory | France |
| City | Paris |
| Period | 2/10/23 → 6/10/23 |
| Internet address |
Keywords
- Visualization
- Computer vision
- Target tracking
- Protocols
- Conferences
- Robustness
- Servers
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