Human Activity Modeling on Shape Manifold

Simple item page
dc.contributor.authorYi, Shengen_US
dc.contributor.authorKrim, Hamiden_US
dc.contributor.authorNorris, L. K.en_US
dc.contributor.editorH. Laga and T. Schreck and A. Ferreira and A. Godil and I. Pratikakis and R. Veltkampen_US
dc.date.accessioned2013-04-25T14:10:29Z
dc.date.available2013-04-25T14:10:29Z
dc.date.issued2011en_US
dc.description.abstractIn this paper we propose a stochastic modeling of human activity on shape manifold. From a video sequence, human activity are extracted as a sequence of shape. Such sequence is considered as one realization of a random process on shape manifold. Then Different activity is modeled by manifold valued random process with different distribution. To solve the stochastic modeling on manifold, we first map the process on the shape manifold to a Euclidean process. Then the process is modeled by linear models such as stationary incremental process and a piecewise stationary incremental process. The mapping from manifold valued process to Euclidean process is known as stochastic development. The idea is to parallelly transport the tangent of curve on manifold to a single tangent space. The advantage of such technique is the one to one correspondence between the process in flat space and the one on manifold. The proposed algorithm is tested on two activity data base [RS01] [BGSB05]. The result demonstrate the high accuracy of our modeling in characterizing different activities.en_US
dc.description.sectionheadersShort Papersen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-31-6en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttps://doi.org/10.2312/3DOR/3DOR11/105-112en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.2.10 [Vision and Scene Understanding]: Motion- Shape Modeling and recovery of physical attributesen_US
dc.titleHuman Activity Modeling on Shape Manifolden_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
105-112.pdf
Size:
321.74 KB
Format:
Adobe Portable Document Format
Download
Collections
3DOR 11