Natural Language Person Retrieval

被引:0
|
作者
Zhou, Tao [1 ]
Yu, Jie [2 ]
机构
[1] Univ Calif Los Angeles, Los Angeles, CA 90024 USA
[2] SAIC Innovat Ctr, San Jose, CA USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Following the recent progress in image classification and image captioning using deep learning, we developed a novel person retrieval system using natural language, which to our knowledge is first of its kind. Our system employs a state-of-the-art deep learning based natural language object retrieval framework to detect and retrieve people in images. Quantitative experimental results show significant improvement over state-of-the-art methods for generic object retrieval. This line of research provides great advantages for searching large amounts of video surveillance footage and it can also be utilized in other domains, such as human-robot interaction.
引用
收藏
页码:5023 / 5024
页数:2
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