Motion interpolation by mean shift segmentation and motion analysis

Nick C. Tang, Joseph C. Tsai, Chun Yu Lin, Timothy K. Shih

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We propose a novel motion interpolation algorithm by using the mean-shift segmentation and motion analysis technique. Mean shift segmentation is frequently used to extract objects from video according to its efficiency and robustness of non-rigid object tracking. For diminishing the computational complexity in motion estimation and object tracking process, an efficient block matching algorithm: cross-diamond-hexagonal search algorithm was used. In the motion analysis procedure, the stick figure of object obtained by thinning process is considered as guidance to gather the statistics of motion information. The model of new behavior of object is produced by motion analysis and used as an input to our motion interpolation procedure. The experimental results show that the proposed method changes the behavior of the behavior of object in several video sequences. Interested readers are welcome to visit our demo website at http://mineweb.no-ip.org/Umedia2008/

Original languageEnglish
Title of host publicationProceedings - 2008 the 1st IEEE International Conference on Ubi-Media Computing and Workshops, U-Media2008
Pages365-370
Number of pages6
DOIs
StatePublished - 2008
Event2008 the 1st IEEE International Conference on Ubi-Media Computing and Workshops, U-Media2008 - Lanzhou University, China
Duration: 31 Jul 20081 Aug 2008

Publication series

NameProceedings - 2008 the 1st IEEE International Conference on Ubi-Media Computing and Workshops, U-Media2008

Conference

Conference2008 the 1st IEEE International Conference on Ubi-Media Computing and Workshops, U-Media2008
Country/TerritoryChina
CityLanzhou University
Period31/07/081/08/08

Keywords

  • Mean shift
  • Motion estimation
  • Object tracking

Fingerprint

Dive into the research topics of 'Motion interpolation by mean shift segmentation and motion analysis'. Together they form a unique fingerprint.

Cite this