Latent hierarchical structural learning for object detection

We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent object parts. The nodes can move spatially to allow both local and global shape deformations. The models can be trained discri...

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Bibliographic Details
Main Authors: Zhu, Long, Chen, Yuanhao, Yuille, Alan, Freeman, William T.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Online Access:http://hdl.handle.net/1721.1/73863
https://orcid.org/0000-0002-2231-7995