Using Evidence Feed - Forward Hidden Markov Models
نویسنده
چکیده
Visual Understanding is an increasing field of research thanks to the advances in image processing, object detection, classification, and advanced computational intelligence techniques. Hidden Markov Models (HMM) are one of these techniques which have been used extensively for this problem. This paper will introduce a new type of HMM, called Evidence Feed Forward Hidden Markov Models, that not only increase the classification rate for sparse messy data, but outlines a whole new theory towards changing the way HMM’s are conceived. Data is taken from simulated images of people’s actions. Over processing is performed to decrease the likelihood of correct classification. Finally, the overprocessed, sparse data is used to train and test the Evidence Feed-Forward HMM and the standard HMM. Results are compared.
منابع مشابه
Evidence Feed Forward Hidden Markov Model: A New Type of Hidden Markov Model
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تاریخ انتشار 2011