By Topic

Segmenting Single Actions from Continuous Captured Motion Sequences

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jing Shu-xu ; Sch. of Inf. Eng., Chang''an Univ., Xi''an, China ; Zhao Wu ; Huang Zhi-yong

Single action segmentation is very important for the application of motion capture technique in many domains. In this paper, we propose an unsupervised approach to segment single actions from continuous captured motion sequences. The proposed method works by firstly finding the underlying structure of the input motion sequence. Consequently a point cloud of pairwise posture similarity matrix is constructed from the underlying structure found by PCA dimensionality reduction. By discovering the similar short clips of homogenous motion families, single actions could be segmented from the input continuous motion sequence. Experiments show that our approach works well.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:7 )

Date of Conference:

March 31 2009-April 2 2009