Segment and Track Anything

Yangming Cheng, Liulei Li, Yuanyou Xu, Xiaodi Li, Zongxin Yang +2 more
5/11/2023
cs.CV

Official code: z-x-yang/Segment-and-Track-Anything (3,138 stars, AGPL-3.0, last commit 2026-03-13).

Abstract

This report presents a framework called Segment And Track Anything (SAMTrack) that allows users to precisely and effectively segment and track any object in a video. Additionally, SAM-Track employs multimodal interaction methods that enable users to select multiple objects in videos for tracking, corresponding to their specific requirements. These interaction methods comprise click, stroke, and text, each possessing unique benefits and capable of being employed in combination. As a result, SAM-Track can be used across an array of fields, ranging from drone technology, autonomous driving, medical imaging, augmented reality, to biological analysis. SAM-Track amalgamates Segment Anything Model (SAM), an interactive key-frame segmentation model, with our proposed AOT-based tracking model (DeAOT), which secured 1st place in four tracks of the VOT 2022 challenge, to facilitate object tracking in video. In addition, SAM-Track incorporates Grounding-DINO, which enables the framework to support text-based interaction. We have demonstrated the remarkable capabilities of SAM-Track on DAVIS-2016 Val (92.0%), DAVIS-2017 Test (79.2%)and its practicability in diverse applications. The project page is available at: https://github.com/z-x-yang/Segment-and-Track-Anything.

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Code Implementations(1)

AGPL-3.0

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

3,138355Shell, PythonApr 16, 20237 months agoAGPL-3.0
interactive-segmentationsegment-anythingsegment-anything-modelvideo-object-segmentationvisual-object-tracking

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Cite this paper

@article{cheng2023segment,
  title  = {Segment and Track Anything},
  author = {Yangming Cheng and Liulei Li and Yuanyou Xu and Xiaodi Li and Zongxin Yang and Wenguan Wang and Yi Yang},
  year   = {2023},
  eprint = {2305.06558},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.06558v1}
}

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