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Träfflista för sökning "WFRF:(Gorthi R.K.S.) "

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1.
  • Kristan, Matej, et al. (author)
  • The Sixth Visual Object Tracking VOT2018 Challenge Results
  • 2019
  • In: Computer Vision – ECCV 2018 Workshops. - Cham : Springer Publishing Company. - 9783030110086 - 9783030110093 ; , s. 3-53
  • Conference paper (peer-reviewed)abstract
    • The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net).
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2.
  • Kristan, M., et al. (author)
  • The Eighth Visual Object Tracking VOT2020 Challenge Results
  • 2020
  • In: Computer Vision. - Cham : Springer International Publishing. - 9783030682378 ; , s. 547-601
  • Conference paper (peer-reviewed)abstract
    • The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The VOT2020 challenge was composed of five sub-challenges focusing on different tracking domains: (i) VOT-ST2020 challenge focused on short-term tracking in RGB, (ii) VOT-RT2020 challenge focused on “real-time” short-term tracking in RGB, (iii) VOT-LT2020 focused on long-term tracking namely coping with target disappearance and reappearance, (iv) VOT-RGBT2020 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2020 challenge focused on long-term tracking in RGB and depth imagery. Only the VOT-ST2020 datasets were refreshed. A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in the VOT-ST challenges. A new VOT Python toolkit that implements all these novelites was introduced. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net ). 
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  • Result 1-2 of 2
Type of publication
conference paper (2)
Type of content
peer-reviewed (2)
Author/Editor
Chen, S. (1)
Chen, Y. (1)
Jiang, Y. (1)
Li, B. (1)
Li, H. (1)
Li, Y. (1)
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Liu, K. (1)
Peng, H. (1)
Wang, F. (1)
Yu, J. (1)
Zhang, H. (1)
Zhang, L. (1)
Zhang, X. (1)
Zhang, Z. (1)
Yao, Y. (1)
Li, J. (1)
Chen, G. (1)
Choi, S. (1)
Wu, Z. (1)
Wang, D. (1)
Wang, Y. (1)
Zhu, X. (1)
Wang, Z. (1)
Wang, L (1)
Yang, X. (1)
Zhang, P (1)
Lee, J. (1)
Yang, J. (1)
Wang, N. (1)
Wang, Q. (1)
Xu, J (1)
Tang, Z. (1)
Wang, Dong (1)
Zhao, S (1)
Fernandez, G (1)
Gu, Y. (1)
Li, Yan (1)
Wang, Qiang (1)
Cheng, L (1)
Lu, W (1)
Li, Jing (1)
Fan, H (1)
Mishra, Deepak (1)
Zhao, H (1)
Yu, K (1)
Lu, H (1)
Ye, Y. (1)
van de Weijer, Joost (1)
Xu, T. (1)
Ma, Z (1)
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University
Linköping University (2)
Language
English (2)
Research subject (UKÄ/SCB)
Natural sciences (2)

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