Abstract
In this paper, for human identification, the silhouette image is segmented into four components to evaluate the partial information about gait. A number of combinations of the components are considered to demonstrate the effectiveness of each component to human gait recognition. Besides, we use multiple distances for different templates and fuse them at a score level. The experiments on the well-known CASIA gait dataset A are carried out to demonstrate the validity of the proposed methods.
| Original language | English |
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| Pages | 1380-1383 |
| Number of pages | 4 |
| Publication status | Published - 2010 Dec 1 |
| Event | Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010 - Okayama, Japan Duration: 2010 Dec 8 → 2010 Dec 12 |
Conference
| Conference | Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010 |
|---|---|
| Country | Japan |
| City | Okayama |
| Period | 10/12/8 → 10/12/12 |
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Information Systems
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Hong, S., Lee, H., Lee, B., & Kim, E. (2010). Segmentation of the silhouette image and their combinations for gait recognition. 1380-1383. Paper presented at Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010, Okayama, Japan.