Head pose localization based on multi-cue fusion

Yucheng Wei; Tieniu Tan; Yunhong Wang

Head pose localization based on multi-cue fusion

Yucheng Wei^*
, Tieniu Tan
, Yunhong Wang

^*此作品的通讯作者

CAS - Institute of Automation

科研成果: 会议稿件 › 论文 › 同行评审

1 引用（Scopus）

摘要

User's face localization and head pose estimation play an essential role in the application of face-to-face human-computer interactive systems. In this paper, we formulate pose localization in a Bayesian framework by particle sampling. Proposal distribution fusing multiple cues such as color, shape and motion is defined to realize pose localization and tracking, which effectively enhances the performance of particle sampling. Experiment results on static images and real videos show the efficiency of our algorithm.

源语言	英语
页	887-890
页数	4
出版状态	已出版 - 2003
已对外发布	是
活动	Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, 西班牙期限: 14 9月 2003 → 17 9月 2003

会议

会议	Proceedings: 2003 International Conference on Image Processing, ICIP-2003
国家/地区	西班牙
市	Barcelona
时期	14/09/03 → 17/09/03

其它文件与链接

链接到 Scopus 的出版物

引用此

@conference{9c7f30e9e18a4195a74eee672142205a,

title = "Head pose localization based on multi-cue fusion",

abstract = "User's face localization and head pose estimation play an essential role in the application of face-to-face human-computer interactive systems. In this paper, we formulate pose localization in a Bayesian framework by particle sampling. Proposal distribution fusing multiple cues such as color, shape and motion is defined to realize pose localization and tracking, which effectively enhances the performance of particle sampling. Experiment results on static images and real videos show the efficiency of our algorithm.",

author = "Yucheng Wei and Tieniu Tan and Yunhong Wang",

year = "2003",

language = "英语",

pages = "887--890",

note = "Proceedings: 2003 International Conference on Image Processing, ICIP-2003 ; Conference date: 14-09-2003 Through 17-09-2003",

}

TY - CONF

T1 - Head pose localization based on multi-cue fusion

AU - Wei, Yucheng

AU - Tan, Tieniu

AU - Wang, Yunhong

PY - 2003

Y1 - 2003

N2 - User's face localization and head pose estimation play an essential role in the application of face-to-face human-computer interactive systems. In this paper, we formulate pose localization in a Bayesian framework by particle sampling. Proposal distribution fusing multiple cues such as color, shape and motion is defined to realize pose localization and tracking, which effectively enhances the performance of particle sampling. Experiment results on static images and real videos show the efficiency of our algorithm.

AB - User's face localization and head pose estimation play an essential role in the application of face-to-face human-computer interactive systems. In this paper, we formulate pose localization in a Bayesian framework by particle sampling. Proposal distribution fusing multiple cues such as color, shape and motion is defined to realize pose localization and tracking, which effectively enhances the performance of particle sampling. Experiment results on static images and real videos show the efficiency of our algorithm.

UR - https://www.scopus.com/pages/publications/0344271905

M3 - 论文

AN - SCOPUS:0344271905

SP - 887

EP - 890

T2 - Proceedings: 2003 International Conference on Image Processing, ICIP-2003

Y2 - 14 September 2003 through 17 September 2003

ER -

Head pose localization based on multi-cue fusion

摘要

会议

其它文件与链接

指纹

引用此