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11

AAAI
2006

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Bayesian Network Based Reparameterization of Haar-like Feature

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Bayesian Network Based Reparameterization of Haar-like Feature

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Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like features. We proposed variable translation techniques transform the BN into the likelihood for the object detection. The likelihood is a BN which includes a node that represents the object's position, angle and scale. The object detection can be achieved by inference for the node.

Hirotaka Niitsuma

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AAAI 2006 | Haar-like Features | Intelligent Agents | Maximum Likelihood Estimation | Object Detection |

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Added	30 Oct 2010
Updated	30 Oct 2010
Type	Conference
Year	2006
Where	AAAI
Authors	Hirotaka Niitsuma

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