3D human pose search using oriented cylinders

Date
2009-09-10
Advisor
Instructor
Source Title
IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
16 - 22
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
Abstract

In this study, we present a representation based on a new 3D search technique for volumetric human poses which is then used to recognize actions in three dimensional video sequences. We generate a set of cylinder like 3D kernels in various sizes and orientations. These kernels are searched over 3D volumes to find high response regions. The distribution of these responses are then used to represent a 3D pose. We use the proposed representation for (i) pose retrieval using Nearest Neighbor (NN) based classification and Support Vector Machine (SVM) based classification methods, and for (ii) action recognition on a set of actions using Dynamic Time Warping (DTW) and Hidden Markov Model (HMM) based classification methods. Evaluations on IXMAS dataset supports the effectiveness of such a robust pose representation. ©2009 IEEE.

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Book Title
Keywords
Action recognition, Classification methods, Data sets, Dynamic time warping, High response, Human pose, Nearest neighbors, Search technique, Video sequences, Computer vision, Cylinders (shapes), Hidden Markov models, Video recording, Three dimensional
Citation
Published Version (Please cite this version)