Abstract
There has been significant progress on pose estimation and increasing interests on pose tracking in recent years. At the same time, the overall algorithm and system complexity increases as well, making the algorithm analysis and comparison more difficult. This work provides simple and effective baseline methods. They are helpful for inspiring and evaluating new ideas for the field. State-of-the-art results are achieved on challenging benchmarks. The code will be available at this https URL.
Keywords
Computer sciencePoseSimple (philosophy)Code (set theory)Baseline (sea)Tracking (education)Artificial intelligenceField (mathematics)EstimationMachine learningComputer visionProgramming language
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Publication Info
- Year
- 2018
- Type
- book-chapter
- Pages
- 472-487
- Citations
- 2084
- Access
- Closed
External Links
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Cite This
Bin Xiao,
Haiping Wu,
Yichen Wei
(2018).
Simple Baselines for Human Pose Estimation and Tracking.
Lecture notes in computer science
, 472-487.
https://doi.org/10.1007/978-3-030-01231-1_29
Identifiers
- DOI
- 10.1007/978-3-030-01231-1_29
- PMID
- 40895350
- PMCID
- PMC12394113
- arXiv
- 1804.06208