Depth-Based Human Detection Considering Postural Diversity and Depth Missing in Office Environment
To realize robust human detection in an actual office work scenario, this paper proposes two ideas using top-view depth cameras. To deal with the changing geometric human shapes caused by body posture (e.g., sitting, standing, and crouching), we propose two features to describe the human upper-back...
Main Authors: | Yuichiro Fujimoto, Kinya Fujita |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8610081/ |
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