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- W4288351658 abstract "This paper presents a module of vehicle reidentification based on make/model and color classification. It could be used by the Automated Vehicular Surveillance (AVS) or by the fast analysis of video data. Many of problems, that are related to this topic, had to be addressed. In order to facilitate and accelerate the progress in this subject, we will present our way to collect and to label a large scale data set. We used deeper neural networks in our training. They showed a good classification accuracy. We show the results of make/model and color classification on controlled and video data set. We demonstrate with the help of a developed application the re-identification of vehicles on video images based on make/model and color classification. This work was partially funded under the grant." @default.
- W4288351658 created "2022-07-29" @default.
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- W4288351658 date "2019-05-15" @default.
- W4288351658 modified "2023-09-27" @default.
- W4288351658 title "Vehicle Shape and Color Classification Using Convolutional Neural Network" @default.
- W4288351658 doi "https://doi.org/10.48550/arxiv.1905.08612" @default.
- W4288351658 hasPublicationYear "2019" @default.
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