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.
Abstract (translated)
本文提出了一种基于品牌/型号和颜色分类的车辆识别模块。它可以被自动车辆监视系统（AVS）或视频数据的快速分析所使用。许多与这一主题有关的问题必须得到解决。为了促进和加快这方面的进展，我们将介绍收集和标记大规模数据集的方法。我们在训练中使用了更深层次的神经网络。它们显示出良好的分类精度。我们展示了控制和视频数据集的品牌/型号和颜色分类结果。我们借助开发的应用程序演示了基于品牌/型号和颜色分类的视频图像上的车辆重新识别。这项工作的部分经费是由拨款提供的。
URL
https://arxiv.org/abs/1905.08612
