Fast human pose detection using randomized hierarchical cascades of rejectors
This paper addresses human detection and pose estimation from monocular images by formulating it as a classification problem. Our main contribution is a multi-class pose detector that uses the best components of state-of-the-art classifiers including hierarchical trees, cascades of rejectors as well...
| Autors principals: | , , , |
|---|---|
| Format: | Journal article |
| Idioma: | English |
| Publicat: |
Springer
2012
|