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25 March 2023 Category-based memory bank design for traffic surveillance in context R-CNN
Miho Takahashi, Kei Iino, Hiroshi Watanabe, Ichiro Morinaga, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda
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Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 125920G (2023) https://doi.org/10.1117/12.2666991
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of
Abstract
Traffic surveillance cameras recognize a large number of objects. In this configuration, since vehicles appear in the same lanes, past footage is useful information. Context R-CNN has been proposed to store past videos in a memory bank and use them for recognition. In this paper, we propose a method to improve recognition performance by selecting objects to be stored in memory banks. We found that the proposed method can improve mAP by 0.37 points on average compared to the conventional method.
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Miho Takahashi, Kei Iino, Hiroshi Watanabe, Ichiro Morinaga, Shohei Enomoto, Xu Shi, Akira Sakamoto, and Takeharu Eda "Category-based memory bank design for traffic surveillance in context R-CNN", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 125920G (25 March 2023); https://doi.org/10.1117/12.2666991
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KEYWORDS
Object detection
Cameras
Design and modelling
Surveillance
Surveillance systems
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