Linder et al., 2015 - Google Patents
Real-time full-body human attribute classification in RGB-D using a tessellation boosting approachLinder et al., 2015
View PDF- 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 …
- 241000282414 Homo sapiens 0 title abstract description 34
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