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The Visual Object Tracking VOT2016 Challenge Results
- Source :
- Lecture Notes in Computer Science ISBN: 9783319488806, ECCV Workshops (2)
- Publication Year :
- 2016
- Publisher :
- Springer International Publishing, 2016.
-
Abstract
- The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).
- Subjects :
- Ground truth
Computer science
business.industry
Performance evaluation
Short-term single-object trackers
VOT
020207 software engineering
02 engineering and technology
Visual Object Tracking
Tracking (particle physics)
Object (computer science)
Datorseende och robotik (autonoma system)
Minimum bounding box
Video tracking
0202 electrical engineering, electronic engineering, information engineering
Benchmark (computing)
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Computer Vision and Robotics (Autonomous Systems)
Short-term single-object tracker
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-319-48880-6
- ISSN :
- 03029743
- ISBNs :
- 9783319488806
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Computer Science ISBN: 9783319488806, ECCV Workshops (2)
- Accession number :
- edsair.doi.dedup.....953156f54fc532423c7361286005ed3a