Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark

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Deep LearningVISO
Overview

Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark

This is the official website of the VISO (VIdeo Satellite Objects) dataset. [Download]

(1) Data

This dataset is a large-scale dataset for moving object detection and tracking in satellite videos, which consists of 40 satellite videos captured by Jilin-1 satellite platforms. Each image has a resolution of 12000x5000 and contains a great number of objects with different scales. Four common types of vechicles, including plane, car, ship, and train, are manually-labeled. A total of 853,911 instances are labeled by axis-aligned bounding boxes.

(2) Benchmark

We also build a new satellite video benchmark to fairly and extensively evaluate the performance of existing methods in several sub-tasks, including moving object detection, single-object tracking, and multi-object tracking.

  • Moving Object Detection:

  • Single Object Tracking:

  • Multiple Object Tracking:

(3) Demo

Owner
Qingyong
Ph.D. student :man_student: in the Department of Computer Science at the University of Oxford :cn:
Qingyong
GitHub Repository
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