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VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results
- Source :
- Lecture Notes in Computer Science ISBN: 9783030110208, ECCV Workshops (5)
- Publication Year :
- 2019
- Publisher :
- Springer International Publishing, 2019.
-
Abstract
- Single-object tracking, also known as visual tracking, on the drone platform attracts much attention recently with various applications in computer vision, such as filming and surveillance. However, the lack of commonly accepted annotated datasets and standard evaluation platform prevent the developments of algorithms. To address this issue, the Vision Meets Drone Single-Object Tracking (VisDrone-SOT2018) Challenge workshop was organized in conjunction with the 15th European Conference on Computer Vision (ECCV 2018) to track and advance the technologies in such field. Specifically, we collect a dataset, including 132 video sequences divided into three non-overlapping sets, i.e., training (86 sequences with 69, 941 frames), validation (11 sequences with 7,046 frames), and testing (35 sequences with 29, 367 frames) sets. We provide fully annotated bounding boxes of the targets as well as several useful attributes, e.g., occlusion, background clutter, and camera motion. The tracking targets in these sequences include pedestrians, cars, buses, and animals. The dataset is extremely challenging due to various factors, such as occlusion, large scale, pose variation, and fast motion. We present the evaluation protocol of the VisDrone-SOT2018 challenge and the results of a comparison of 22 trackers on the benchmark dataset, which are publicly available on the challenge website: http://www.aiskyeye.com/. We hope this challenge largely boosts the research and development in single object tracking on drone platforms Refereed/Peer-reviewed
- Subjects :
- Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
drone
010501 environmental sciences
01 natural sciences
single-object tracking
Field (computer science)
Drone
performance evaluation
Video tracking
0202 electrical engineering, electronic engineering, information engineering
Benchmark (computing)
Eye tracking
Clutter
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Protocol (object-oriented programming)
0105 earth and related environmental sciences
Subjects
Details
- ISBN :
- 978-3-030-11020-8
- ISBNs :
- 9783030110208
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Computer Science ISBN: 9783030110208, ECCV Workshops (5)
- Accession number :
- edsair.doi.dedup.....d8bd5a6d5eaf4c70c9ba568f34c17dc6