Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review

• URL: http://arxiv.org/abs/2102.09744v1
• Date: Fri, 19 Feb 2021 05:02:24 GMT
• Title: Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review
• Authors: Zakria, Jianhua Deng, Muhammad Saddam Khokhar, Muhammad Umar Aftab, Jingye Cai, Rajesh Kumar and Jay Kumar
• Abstract summary: Vehicle re-id matches targeted vehicle over-overlapping views in multiple camera network views. This paper gives a comprehensive description of the various vehicle re-id technologies, methods, datasets, and a comparison of different methodologies.
• Score: 2.9093633827040724
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Vehicle Re-identification (re-id) over surveillance camera network with non-overlapping field of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to its versatile applicability in metropolitan cities, it gained significant attention. Vehicle re-id matches targeted vehicle over non-overlapping views in multiple camera network. However, it becomes more difficult due to inter-class similarity, intra-class variability, viewpoint changes, and spatio-temporal uncertainty. In order to draw a detailed picture of vehicle re-id research, this paper gives a comprehensive description of the various vehicle re-id technologies, applicability, datasets, and a brief comparison of different methodologies. Our paper specifically focuses on vision-based vehicle re-id approaches, including vehicle appearance, license plate, and spatio-temporal characteristics. In addition, we explore the main challenges as well as a variety of applications in different domains. Lastly, a detailed comparison of current state-of-the-art methods performances over VeRi-776 and VehicleID datasets is summarized with future directions. We aim to facilitate future research by reviewing the work being done on vehicle re-id till to date.

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