Seungdo Jeong

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The gait recognition is to recognize an individual based on the characteristics extracted from the gait image sequence. There are many researches for the gait recognition which use diverse kinds of information such as shape of gait silhouette, motion variation caused by walking, and so on. In general, shape information is more useful for recognition.(More)
In the gait recognition, dependency to the walking direction is serious problem because most features obtained from gait sequences for recognition vary with dependent to the walking direction. To extract steady features from the gait sequence in this case, it is noticeable approach to synthesize gait sequences to the canonical-viewed ones. However, even(More)
We propose a new augmented reality (AR)-based approach for training using virtual sand table representations of military battlefields. A virtual tactical map (VTM) can archive simple actions such as moving a marker by hand, to provide more organic realizations in virtual military training. The new tangible AR interface provides a content-authoring tool that(More)
GAIT is defined as a person's manner of walking. While the computer vision community has progressed the identification of individuals by means of their gait, there are many difficulties which are not settled yet. Especially, dependency to the direction of walking is very serious. That is, extracted gait features become individualized according to the(More)
In multimedia information retrieval, multimedia data are represented as vectors in high-dimensional space. To search these vectors efficiently, a variety of indexing methods have been proposed. However, the performance of these indexing methods degrades dramatically with increasing dimensionality, which is known as the dimensionality curse. To resolve the(More)