Intelligent video surveillance systems are becoming an increasingly important major area of artificial intelligence as the use of motor vehicles in today’s transportation networks grows. In recent times re-identifying vehicles over a surveillance camera network have been proven to be the most effective method of efficiently controlling traffic, upholding the law, gathering information, and programming the traffic. Vehicle Re-ID seeks to recognize a target vehicle in several, non-overlapping camera perspectives. Compared to the common person re-ID issue, it has gotten far less attention in the computer vision community. The absence of pertinent research data and the unique 3D structure of a vehicle are two potential causes of this delayed progression. 

This research presents PAK Vehicle Re-ID Dataset (PV-ReID) with arbitrary viewpoints including unique vehicle identities based on Asian regions like Pakistan and India. In addition, a generalized pipeline for vehicle re-identification systems is presented.