- Abstract:
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We propose a personalized ConvNet pose estimator that automatically adapts itself to the uniqueness of a person’s appearance to improve pose estimation in long videos
We make the following contributions: (i) we show that given a few high-precision pose annotations, e.g. from a generic ConvNet pose estimator, additional annotations can be generated throughout the video using a combination of image-based matching for temporally distant frames, and dense optical flow for temporal...
Expand abstract - Publication status:
- In press
- Peer review status:
- Peer reviewed
- Files:
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(pdf, 3.8MB)
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- Publisher copy:
- 10.1109/CVPR.2016.334
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- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Publication date:
- 2016-06-05
- Acceptance date:
- 2016-03-01
- DOI:
- URN:
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uuid:046eef2e-1918-4bb7-ac4e-3bda9ee7f90e
- Source identifiers:
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624530
- Local pid:
- pubs:624530
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2016
- Notes:
- © 2016 IEEE
Conference
Personalizing human video pose estimation
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