精密工学会誌
Online ISSN : 1882-675X
Print ISSN : 0912-0289
ISSN-L : 0912-0289
画像技術の実利用特集論文
視線領域推定モジュールによる広視野画像からの異常検知
後藤 圭亮相澤 宏旭加藤 邦人原田 佳周野口 稔西川 英雄鹿志村 和典濱谷 章史大平 司井原 巳知
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2021 年 87 巻 12 号 p. 1008-1012

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In this paper, we tackle anomaly detection in cluttered wide-field images. Typically, the conventional approaches perform patch-wise anomaly detection by cropping the original image. However, it is difficult to detect anomalies correctly when the image has significant variations and local anomalous areas. Therefore, inspired by the human visual inspection, we propose a novel anomaly detection framework called Gaze-based Anomaly Detection (GAD). Our GAD learns a gaze map obtained from inspectors and utilizes the map to pay attention to the anomalous areas. The experiment showed that the proposed method allows us to detect abnormal samples without cropping and localization pre-processing and outperforms the conventional ones.

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