Abstract
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.
Cite
CITATION STYLE
Zhou, T., & Yu, J. (2017). Natural language person retrieval. In 31st AAAI Conference on Artificial Intelligence, AAAI 2017 (pp. 5023–5024). AAAI press. https://doi.org/10.1609/aaai.v31i1.11083
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