Muhammad Umar Aftab

Zakria, Jianhua Deng, Muhammad Saddam Khokhar et al.

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.

Muhammad Umar Aftab, Amna Nisar, Dr. Asif et al.

Institutional collaborative systems focus on providing the fast, and secure connections to students, teaching and non-teaching staff members. Access control is more important in these types of systems because different kind of users access the system on different levels. So a proper architecture must be there for these kinds of systems, for providing an efficient and secure system. As lot of work was done in RBAC like for grouping, securing the system, ease of use, and for enterprise etc but no one apply all these concepts as a whole on institution level. So, this paper will be a step towards administrative load sharing, securing the system, and ease of use.