Yoshihoko Goto

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Continuous density observation hidden Markov models (CD-HMMs) have been shown to perform better than their discrete counterparts. However, because the observation distribution is usually represented with a mixture of multi-variate normal densities, the training time for a CD-HMM can be prohibitively long. This paper presents a new approach to speed-up the(More)
Conventional object detection methods often use local features based on object shape, of which the HOG feature is typical. In recent years, Color Self-Similarity (CSS) has been proposed as a local feature that uses color information. CSS involves computing color similarity as a basis for deciding the sameness of objects, and thus represent a feature that is(More)
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