Real-time Gender Classification from Human Gait for Arbitrary View Angles

Ping-chieh Chang, Ming-chun Tien, Ja-ling Wu, Chuan-shen Hu

Research output: Contribution to conferencePaper

10 Citations (Scopus)
Original languageEnglish
Pages88-95
DOIs
Publication statusPublished - 2009
Event2009 11th IEEE International Symposium on Multimedia - San Diego, California, USA
Duration: 2009 Dec 142009 Dec 16

Conference

Conference2009 11th IEEE International Symposium on Multimedia
Period09-12-1409-12-16

Cite this

Chang, P., Tien, M., Wu, J., & Hu, C. (2009). Real-time Gender Classification from Human Gait for Arbitrary View Angles. 88-95. Paper presented at 2009 11th IEEE International Symposium on Multimedia, . https://doi.org/10.1109/ISM.2009.81
Chang, Ping-chieh ; Tien, Ming-chun ; Wu, Ja-ling ; Hu, Chuan-shen. / Real-time Gender Classification from Human Gait for Arbitrary View Angles. Paper presented at 2009 11th IEEE International Symposium on Multimedia, .
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year = "2009",
doi = "10.1109/ISM.2009.81",
language = "English",
pages = "88--95",
note = "2009 11th IEEE International Symposium on Multimedia ; Conference date: 14-12-2009 Through 16-12-2009",

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Chang, P, Tien, M, Wu, J & Hu, C 2009, 'Real-time Gender Classification from Human Gait for Arbitrary View Angles', Paper presented at 2009 11th IEEE International Symposium on Multimedia, 09-12-14 - 09-12-16 pp. 88-95. https://doi.org/10.1109/ISM.2009.81

Real-time Gender Classification from Human Gait for Arbitrary View Angles. / Chang, Ping-chieh; Tien, Ming-chun; Wu, Ja-ling; Hu, Chuan-shen.

2009. 88-95 Paper presented at 2009 11th IEEE International Symposium on Multimedia, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Real-time Gender Classification from Human Gait for Arbitrary View Angles

AU - Chang, Ping-chieh

AU - Tien, Ming-chun

AU - Wu, Ja-ling

AU - Hu, Chuan-shen

PY - 2009

Y1 - 2009

U2 - 10.1109/ISM.2009.81

DO - 10.1109/ISM.2009.81

M3 - Paper

SP - 88

EP - 95

ER -

Chang P, Tien M, Wu J, Hu C. Real-time Gender Classification from Human Gait for Arbitrary View Angles. 2009. Paper presented at 2009 11th IEEE International Symposium on Multimedia, . https://doi.org/10.1109/ISM.2009.81