2019/05/15 by Mohamed Nafzi, Nafzi, Mohamed, Michael Brauckmann +3
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
paper · pdf · doi:10.48550/arxiv.1905.08612
openalex publication_date 2019/05/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper presents a module of vehicle reidentification based on make/model\nand color classification. It could be used by the Automated Vehicular\nSurveillance (AVS) or by the fast analysis of video data. Many of problems,\nthat are related to this topic, had to be addressed. In order to facilitate and\naccelerate the progress in this subject, we will present our way to collect and\nto label a large scale data set. We used deeper neural networks in our\ntraining. They showed a good classification accuracy. We show the results of\nmake/model and color classification on controlled and video data set. We\ndemonstrate with the help of a developed application the re-identification of\nvehicles on video images based on make/model and color classification. This\nwork was partially funded under the grant.\n