Abstract
In this paper, we have proposed a new representation for human gait recognition which is called as mass vector. The mass vector along a given row is defined as the number of pixels with a nonzero value in a given row of the binarized silhouette of a walking person. Sequences of temporally ordered mass vector are used to represent a gait of an individual. Besides, different gait features are extracted from the mass vector such as the down-sampled mass vectors and the principal components of mass vectors. We use the dynamic time-warping (DTW) approach for matching so that non-linear time normalization may be used to deal with the naturally-occurring changes in walking speed. Experimental results show that mass vector has a higher discriminative power than previous works for gait recognition.
| Original language | English |
|---|---|
| Title of host publication | ICCAS 2007 - International Conference on Control, Automation and Systems |
| Pages | 2234-2237 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2007 Dec 1 |
| Event | International Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of Duration: 2007 Oct 17 → 2007 Oct 20 |
Publication series
| Name | ICCAS 2007 - International Conference on Control, Automation and Systems |
|---|
Other
| Other | International Conference on Control, Automation and Systems, ICCAS 2007 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 07/10/17 → 07/10/20 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
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Human identification based on gait analysis. / Hong, Sungjun; Lee, Heesung; Nizami, Imran Fareed; An, Sung Je; Kim, Euntai.
ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. p. 2234-2237 4406714 (ICCAS 2007 - International Conference on Control, Automation and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Human identification based on gait analysis
AU - Hong, Sungjun
AU - Lee, Heesung
AU - Nizami, Imran Fareed
AU - An, Sung Je
AU - Kim, Euntai
PY - 2007/12/1
Y1 - 2007/12/1
N2 - In this paper, we have proposed a new representation for human gait recognition which is called as mass vector. The mass vector along a given row is defined as the number of pixels with a nonzero value in a given row of the binarized silhouette of a walking person. Sequences of temporally ordered mass vector are used to represent a gait of an individual. Besides, different gait features are extracted from the mass vector such as the down-sampled mass vectors and the principal components of mass vectors. We use the dynamic time-warping (DTW) approach for matching so that non-linear time normalization may be used to deal with the naturally-occurring changes in walking speed. Experimental results show that mass vector has a higher discriminative power than previous works for gait recognition.
AB - In this paper, we have proposed a new representation for human gait recognition which is called as mass vector. The mass vector along a given row is defined as the number of pixels with a nonzero value in a given row of the binarized silhouette of a walking person. Sequences of temporally ordered mass vector are used to represent a gait of an individual. Besides, different gait features are extracted from the mass vector such as the down-sampled mass vectors and the principal components of mass vectors. We use the dynamic time-warping (DTW) approach for matching so that non-linear time normalization may be used to deal with the naturally-occurring changes in walking speed. Experimental results show that mass vector has a higher discriminative power than previous works for gait recognition.
UR - http://www.scopus.com/inward/record.url?scp=48349143999&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48349143999&partnerID=8YFLogxK
U2 - 10.1109/ICCAS.2007.4406714
DO - 10.1109/ICCAS.2007.4406714
M3 - Conference contribution
AN - SCOPUS:48349143999
SN - 8995003871
SN - 9788995003879
T3 - ICCAS 2007 - International Conference on Control, Automation and Systems
SP - 2234
EP - 2237
BT - ICCAS 2007 - International Conference on Control, Automation and Systems
ER -