Two-Point Gait: Decoupling Gait from Body Shape
Two-Point Gait: Decoupling Gait from Body Shape
- Neue Suche nach: Lombardi, Stephen
- Neue Suche nach: Nishino, Ko
- Neue Suche nach: Makihara, Yasushi
- Neue Suche nach: Yagi, Yasushi
- Neue Suche nach: Lombardi, Stephen
- Neue Suche nach: Nishino, Ko
- Neue Suche nach: Makihara, Yasushi
- Neue Suche nach: Yagi, Yasushi
Human gait modeling (e.g., for person identification) largely relies on image-based representations that muddle gait with body shape. Silhouettes, for instance, inherently entangle body shape and gait. For gait analysis and recognition, decoupling these two factors is desirable. Most important, once decoupled, they can be combined for the task at hand, but not if left entangled in the first place. In this paper, we introduce Two-Point Gait, a gait representation that encodes the limb motions regardless of the body shape. Two-Point Gait is directly computed on the image sequence based on the two point statistics of optical flow fields. We demonstrate its use for exploring the space of human gait and gait recognition under large clothing variation. The results show that we can achieve state-of-the-art person recognition accuracy on a challenging dataset.
Dokumentinformationen
Two-Point Gait: Decoupling Gait from Body Shape
2013-12-01
594049 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Ähnliche Titel
Minisun IDEEA Life Gait for Gait Analysis
| Springer Verlag | 2021
| Springer Verlag | 2024
Dynamic Distance-Based Shape Features for Gait Recognition
| British Library Online Contents | 2014