Anomaly detection using local regions in road images acquired from a hand-held camera
説明
We investigate a method to accurately detect road images with anomalies using the local regions generated from a small number of reference images. There are few datasets of road images with labeled anomalies acquired by hand-held cameras that are large enough to train an accurate detector. We hence evaluated whether an anomaly road image detector using local regions trained on a small dataset of reference images can increase performance. Experimental results show that the use of local regions instead of whole images significantly improves detection performance on a road dataset collected by the local government of Tottori prefecture.
収録刊行物
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- 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)
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2018 IEEE 7th Global Conference on Consumer Electronics (GCCE) 375-378, 2018-10-01
IEEE