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.
Highlights
Due to growing global population, commercial activities have been extensively increasing, which leads everyone to access road transportation as a source of mobility
Aiming to facilitate other researchers, this review provides the required information about the publicly available datasets and discusses several important research directions with under-investigated open issues to narrow the gap between the closed-world and open-world applications, taking a step towards real-world re-id system design
To measure the performance of vehicle re-id approaches, the cumulative matching characteristics (CMC), curve HIT@1 and HIT@5 are commonly used by researchers
Summary
Due to growing global population, commercial activities have been extensively increasing, which leads everyone to access road transportation as a source of mobility. Due to easy accessibility of road transportation system, traffic on roads is massively increasing that creates the problem of high traffic congestion and a drastic increase in carbon dioxide emissions. Along with these issues, road accident risks and the overall transportation complexity increases as well. Traffic management authorities are facing hectic challenges to maintain an undisturbed transportation system. Their task includes tracking the suspicious vehicle, handling traffic jam, and to check whether the vehicle is registered or not. Maintaining undisturbed transportation becomes harder when a large number of vehicles are on the roads
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