Segmentation of the silhouette image and their combinations for gait recognition

Sungjun Hong, Heesung Lee, Byungyun Lee, Euntai Kim

Research output: Contribution to conferencePaper

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 languageEnglish
Pages1380-1383
Number of pages4
Publication statusPublished - 2010 Dec 1
EventJoint 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 82010 Dec 12

Conference

ConferenceJoint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010
CountryJapan
CityOkayama
Period10/12/810/12/12

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    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.