标题： 基于卷积神经网络的车辆形状和颜色分类 显示英文标题

标题： Vehicle Shape and Color Classification Using Convolutional Neural Network

摘要： 本文提出了一种基于车型和颜色分类的车辆再识别模块。 它可用于自动化车辆监控（AVS），或用于快速分析视频数据。 许多与此主题相关的难题需要解决。 为了促进和加速这一领域的进展，我们将介绍我们收集和标注大规模数据集的方法。 我们在训练中使用了更深的神经网络，它们显示出良好的分类准确性。 我们展示了在受控数据集和视频数据集上的车型、型号和颜色分类结果。 通过一个开发的应用程序，我们展示了基于车型和颜色分类的视频图像中的车辆再识别。 本研究部分得到了该资助项目的资助。 显示英文摘要

摘要： 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.