Natural Language Person Retrieval
Zhou, Tao (University of California, Los Angeles) | Yu, Jie (SAIC Innovation Center)
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 meth- ods for generic object retrieval. This line of research provides great advantages for searching large amounts of video surveil- lance footage and it can also be utilized in other domains, such as human-robot interaction.
Feb-14-2017
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- North America > United States > California > Los Angeles County > Los Angeles (0.15)
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- Research Report (0.69)
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