Using Multiple Views for Gait-based Gender Classification

摘要：

　　Automatic gender classification of an individual can be very useful in video-based surveillance systems and human-computer interaction systems.In this paper,we propose an approach to integrate information from multi-view gait at the feature level.First,gait energy images(GEI)are constructed from the video streams for different viewpoints.Then,the feature fusion is performed by putting GEI images and camera views together to generate a third-order tensor(x,y,view).A multilinear principal component analysis is employed to reduce dimensionality of the tensor objects which integrate all views.Compared with other methods,the proposed fusion scheme shows more effective performance for multi-view gait based gender classification.

关键词： Gait Gender Classification Multi-view Fusion

作者: De Zhang Yahui Wang

作者单位: School of Electrical and Information Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 2194-2197

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）