Segmentation of the silhouette image and their combinations for gait recognition

Sungjun Hong; Heesung Lee; Byungyun Lee; Euntai Kim

Segmentation of the silhouette image and their combinations for gait recognition

Sungjun Hong, Heesung Lee, Byungyun Lee, Euntai Kim

Department of Electrical and Electronic Engineering

Research output: Contribution to conference › Paper › peer-review

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
Pages	1380-1383
Number of pages	4
Publication status	Published - 2010
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/Territory	Japan
City	Okayama
Period	10/12/8 → 10/12/12

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Information Systems

Cite this

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title = "Segmentation of the silhouette image and their combinations for gait recognition",

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.",

author = "Sungjun Hong and Heesung Lee and Byungyun Lee and Euntai Kim",

year = "2010",

language = "English",

pages = "1380--1383",

note = "Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010 ; Conference date: 08-12-2010 Through 12-12-2010",

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Segmentation of the silhouette image and their combinations for gait recognition. / Hong, Sungjun; Lee, Heesung; Lee, Byungyun et al.

2010. 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.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Segmentation of the silhouette image and their combinations for gait recognition

AU - Hong, Sungjun

AU - Lee, Heesung

AU - Lee, Byungyun

AU - Kim, Euntai

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

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M3 - Paper

AN - SCOPUS:84866691568

SP - 1380

EP - 1383

T2 - Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2010

Y2 - 8 December 2010 through 12 December 2010

ER -

Segmentation of the silhouette image and their combinations for gait recognition

Abstract

Conference

All Science Journal Classification (ASJC) codes

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