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Linder et al., 2015 - Google Patents

Real-time full-body human attribute classification in RGB-D using a tessellation boosting approach

Linder et al., 2015

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Document ID
15489366347817358992
Author
Linder T
Arras K
Publication year
Publication venue
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

External Links

Snippet

Robots that cooperate and interact with humans require the capacity to detect and track people, analyze their behavior and understand human social relations and rules. A key piece of information for such tasks are human attributes like gender, age, hair or clothing. In …
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Classifications

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