Visual person tracking with a Supervised Conditioning-SOM
نویسندگان
چکیده
The classification problem of determining if a surveillance camera sees persons is tackled with two neural models: the Self-Organizing Map (SOM) with supervision as in a classical conditioning analogy and Multi Layer Perceptrons (MLP). The first model, that we call Conditioning-SOM (C-SOM) allowed a quick selection of input features with a good tradeoff between computational cost and classification performance. Finally, MLP classifiers were trained with the selected features. The classification performance of both neural models was very good with very simple features.
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