Visual analysis of human motion is one of the active research areas in computer vision.
The trend shifts from computing motion fields to understanding actions. In this
thesis, an action coding scheme based on trajectories of the features calculated with
respect to a part based coordinate system is presented. The part based coordinate
system is formed using an axis based representation. The features are extracted from
images segmented in the form of silhouettes. We present some preliminary experiments
that demonstrate the potential of the method in action similarity analysis.
Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12608815/index.pdf |
Date | 01 September 2007 |
Creators | Erdem, Sezen |
Contributors | Tari, Sibel |
Publisher | METU |
Source Sets | Middle East Technical Univ. |
Language | English |
Detected Language | English |
Type | M.S. Thesis |
Format | text/pdf |
Rights | To liberate the content for public access |
Page generated in 0.0017 seconds