Real-time On-line Learning of Transformed Hidden Markov Models from Video


The transformed hidden Markov model is a temporal model that captures three typical causes of variability in video scene/object class, appearance variability within the class, and image motion. In our previous work, we showed that an exact EM algorithm can jointly learn the appearances of multiple objects and/or poses of an object, and track the objects or… (More)


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