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학술대회 Person Re-Identification in Movies/Dramas
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저자
임동혁, 서용석, 김현우, 황인준, 박지현
발행일
202010
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1596-1598
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289375
협약과제
20IH2400, 음악 및 동영상 모니터링을 위한 지능형 마이크로 식별 기술 개발, 박지현
초록
In this paper, we present a system for person re-identification in movies and dramas. Our person re-identification method simultaneously learns differences and commonalities between two pairs of images. Features are extracted using three images, and the relationship between the extracted features is constructed into two pairs of feature maps to learn. Our method significantly outperforms on a large data set (CUHK03), and our own re-identification dataset generated from video contents such as movies and dramas. We also show that the proposed model learned on our own data set can be applied to actor re-identification in video content.
키워드
actor re-identification, deep learning, person re-identification
KSP 제안 키워드
Feature Map, Identification method, Large data sets, Person Re-Identification, Proposed model, Video contents, deep learning(DL)