ADAPTING GENDER AND AGE RECOGNITION SYSTEM FOR MOBILE PLATFORMS

摘要：

Human gender and age recognition is an emerging application for intelligent video analysis.However,offline pretrained recognition models often show degraded performance in a specific application scenario.To alleviate this issue,this paper presents a client-server system design adapting gender and age recognition models for mobile platforms.Specifically,the client program on Android smart phones streams face images to a cloud computing service where the recognition models based on convolutional neural networks are adapted leveraging the face correspondences in successive frames as weak supervision.The prototype system demonstrates the proposed design effectively reduces estimation variances and enhances user experiences.

关键词： Gender and age recognition Convolutional neural networks Correspondence driven adaptation Android platforms.

作者: Ming Yang Kai Yu

作者单位: Media Analytics Dept. NEC Laboratories America,Inc. Cupertino,CA 95014,USA

会议类型: 国际会议

会议名称: 第三届全国智能视觉监控学术会议

会议地点: 北京

会议语种:英文

页码: 93-96

在线出版日期: 2011-12-01（万方平台首次上网日期，不代表论文的发表时间）