Asset Details

  • Description:
  • The overall precision plots and the overall success plots of the 10 trackers on the OTB2013 dataset [29]. In the legend, the DP at a threshold of 20 pixels and area-under-curve (AUC) are reported in the left and right figures, respectively.
  • License:
  • Rights Managed
  • Rights Holder:
  • Springer Nature
  • License Rights Holder:
  • © Springer Nature Switzerland AG 2019© Springer Nature Switzerland AG 2019
  • Asset Type:
  • Image
  • Asset Subtype:
  • Chart/Graph
  • Image Orientation:
  • Landscape
  • Image Dimensions:
  • 1358 x 529
  • Image File Size:
  • 393 KB
  • Creator:
  • Gerhard Goos, Juris Hartmanis, Elisa Bertino, Wen Gao, Bernhard Steffen, Gerhard Woeginger, Moti Yung, Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis, Zhen Zhang, Chao Wang, Xiqun Lu
  • Credit:
  • Goos, G., Hartmanis, J., Bertino, E., Gao, W., Steffen, B., Woeginger, G., Yung, M., Tetko, I. V., Kůrková, V., Karpov, P., Theis, F., Zhang, Z., Wang, C., & Lu, X. (2019). Object Detection - An Adaptive Feature Channel Weighting Scheme for Correlation Tracking. Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing, 168-183. https://doi.org/10.1007/978-3-030-30508-6.
  • Collection:
  • Keywords:
  • Visual tracking, DCF based tracker, Coupling, Adaptive feature weighting, Least-square estimation
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • Gerhard Goos, Juris Hartmanis, Elisa Bertino, Wen Gao, Bernhard Steffen, Gerhard Woeginger, Moti Yung, Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis, Zhen Zhang, Chao Wang, Xiqun Lu
  • Article Copyright Year:
  • 2019
  • Publication Volume:
  • Publication Issue:
  • Publication Date:
  • 09/09/2019
  • DOI:
  • https://doi.org/10.1007/978-3-030-30508-6

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