Gait based gender recognition using sparse spatio temporal features

Original language	English
Publication status	Published - 2014
Event	20th Anniversary International Conference on MultiMedia Modeling - Conference Centre inside the Guinness Storehouse, Dublin, United Kingdom Duration: 6 Jan 2014 → 10 Jan 2014 http://mmm2014.org/

Conference

Conference	20th Anniversary International Conference on MultiMedia Modeling
Abbreviated title	MMM 2014
Country/Territory	United Kingdom
City	Dublin
Period	6/01/14 → 10/01/14
Internet address	http://mmm2014.org/

Other files and links

• Link to Press Release for Conference

Research output

Research output per year 2014 2014 2014

• 1 Conference contribution

Research output per year

Research output per year

• Gait based gender recognition using sparse spatio temporal features

  Collins, M., Miller, P. & Zhang, J., 2014, MultiMedia Modeling: 20th Anniversary International Conference, MMM 2014, Dublin, Ireland, January 6-10, 2014, Proceedings, Part II. Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H. & O’Connor, N. (eds.). Berlin: Springer , Vol. 8326. p. 80-91 12 p. (Lecture notes in computer science; vol. 8326).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Gender Recognition 100%
  • Gait 100%
  • Spatio-temporal Features 100%
  • Temporal Feature 100%
  • Tuning Parameter 50%
  2 Citations (Scopus)

Activities

Activities per year 2014 2014 2014

• 1 Participation in conference

Activities per year

• 20th Anniversary International Conference on MultiMedia Modeling

  Zhang, J. (Participant)

  9 Jan 2014

  Activity: Participating in or organising an event types › Participation in conference

Cite this

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Collins, M., Miller, P., & Zhang, J. (2014). Gait based gender recognition using sparse spatio temporal features. Paper presented at 20th Anniversary International Conference on MultiMedia Modeling , Dublin, United Kingdom.

Collins, Matthew ; Miller, Paul ; Zhang, Jianguo. / Gait based gender recognition using sparse spatio temporal features. Paper presented at 20th Anniversary International Conference on MultiMedia Modeling , Dublin, United Kingdom.

@conference{2f7b385010e648739f566caa767f5ab4,

title = "Gait based gender recognition using sparse spatio temporal features",

author = "Matthew Collins and Paul Miller and Jianguo Zhang",

year = "2014",

language = "English",

note = "20th Anniversary International Conference on MultiMedia Modeling , MMM 2014 ; Conference date: 06-01-2014 Through 10-01-2014",

url = "http://mmm2014.org/",

}

Collins, M, Miller, P & Zhang, J 2014, 'Gait based gender recognition using sparse spatio temporal features', Paper presented at 20th Anniversary International Conference on MultiMedia Modeling , Dublin, United Kingdom, 6/01/14 - 10/01/14.

Gait based gender recognition using sparse spatio temporal features. / Collins, Matthew; Miller, Paul; Zhang, Jianguo.
2014. Paper presented at 20th Anniversary International Conference on MultiMedia Modeling , Dublin, United Kingdom.

Research output: Contribution to conference › Paper

TY - CONF

T1 - Gait based gender recognition using sparse spatio temporal features

AU - Collins, Matthew

AU - Miller, Paul

AU - Zhang, Jianguo

PY - 2014

Y1 - 2014

UR - https://www.insight-centre.org/content/20th-anniversary-international-conference-multimedia-modeling-dublin-ireland

M3 - Paper

T2 - 20th Anniversary International Conference on MultiMedia Modeling

Y2 - 6 January 2014 through 10 January 2014

ER -

Collins M, Miller P, Zhang J. Gait based gender recognition using sparse spatio temporal features. 2014. Paper presented at 20th Anniversary International Conference on MultiMedia Modeling , Dublin, United Kingdom.