Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World-Reference-Cited by-同舟云学术

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Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World

Published:2018 Issue: Volume: Page:450-466
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2018
language:
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Author:

Fabbri Matteo,Lanzi Fabio,Calderara Simone,Palazzi Andrea,Vezzani Roberto,Cucchiara Rita

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01225-0_27

Reference40 articles.

1. Andriluka, M., Pishchulin, L., Gehler, P., Schiele, B.: 2D human pose estimation: new benchmark and state of the art analysis. In: CVPR (2014)

2. Andriluka, M., et al.: Posetrack: a benchmark for human pose estimation and tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5167–5176 (2018)

3. Andriluka, M., Roth, S., Schiele, B.: People-tracking-by-detection and people-detection-by-tracking. In: IEEE Conference on Computer Vision and Pattern Recognition CVPR 2008, pp. 1–8. IEEE (2008)

4. Bae, S.H., Yoon, K.J.: Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking. IEEE Trans. Pattern Anal. Mach. Intell. 40(3), 595–610 (2018). https://doi.org/10.1109/TPAMI.2017.2691769

5. Lecture Notes in Computer Science;A Bulat,2016

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