Characteristic gait animation synthesis from single view silhouette

Shinsuke Nakamurai*, Masashi Shiraishi, Shigeo Morishima, Mayu Okumura, Yasushi Makihara, Yasushi Yagi

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)


Characteristics of human motion, such as walking, running or jumping vary from person to person. Differences in human motion enable people to identify oneself or a friend. However, it is challenging to generate animation where individual characters exhibit characteristic motion using computer graphics. Our goal is to construct a system that synthesizes characteristic gait animation automatically. As a result, when crowd animation is generated for instance, the motion with the variation can be made using our system. In our system, we first acquire a silhouette image as input data using a video camera. Second, we extract gait feature from single view silhouette. Finally we automatically synthesize 3D gait animation using the method blending a small number of motion data [KOVAR, L et al 2003].This blending weight is estimated using the gait feature automatically.

Original languageEnglish
Publication statusPublished - 2009
EventSIGGRAPH 2009: Posters, SIGGRAPH '09 - New Orleans, LA, United States
Duration: 2009 Aug 32009 Aug 7


ConferenceSIGGRAPH 2009: Posters, SIGGRAPH '09
Country/TerritoryUnited States
CityNew Orleans, LA

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software


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