I will present my experiments on hand postures by Hidden Conditional Random Field and a related paper from IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007.
paper link
Paper Abstract:
We present a discriminative latent variable model for classification problems in structured domains where inputs can be represented by a graph of local observations. A hidden-state Conditional Random Field framework learns a set of latent variables conditioned on local features. Observations need not be independent and may overlap in space and time. We evaluate our model on object detection and gesture recognition tasks.
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