Conference item
The visual object tracking VOT2016 challenge results
- Abstract:
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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 sh...
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- Publication status:
- Published
- Peer review status:
- Reviewed (other)
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 3.7MB, Terms of use)
-
- Publisher copy:
- 10.1007/978-3-319-48881-3_54
Authors
Bibliographic Details
- Publisher:
- Springer
- Host title:
- Computer Vision – ECCV 2016 Workshops
- Series:
- Lecture Notes in Computer Science
- Series number:
- 9914
- Pages:
- 777-823
- Publication date:
- 2016-11-03
- Acceptance date:
- 2016-10-08
- Event title:
- Computer Vision – ECCV 2016
- Event location:
- Amsterdam
- Event start date:
- 2016-10-11
- Event end date:
- 2016-10-14
- DOI:
- EISSN:
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1611-3349
- ISSN:
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1611-3349
- EISBN:
- 9783319488813
- ISBN:
- 9783319488806
Item Description
- Language:
-
English
- Pubs id:
-
664144
- Local pid:
-
pubs:664144
- Deposit date:
-
2024-05-20
Terms of use
- Copyright holder:
- Springer International Publishing Switzerland
- Copyright date:
- 2016
- Rights statement:
- © 2016 Springer International Publishing Switzerland
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Springer at https://dx.doi.org/10.1007/978-3-319-48881-3_54
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