Vehicle Tracking System Using Discrete Wavelet Transformation

Abstract

Given the significance of speed in the realm of the Internet and the large number of cyberattacks, verification systems that are fast, accurate, and convenient are required. Although it is possible to manipulate Image Recognition verification, it can still be of some help against any form of fraudulent scheme. The present study proposes a model of pixel-wise operations for identifying a location point. The computer vision is not limited to pixel-wise operations. It can be more complicated than image processing. First, unstructured image segmentation is taken via K-Means Clustering Algorithm. Then, after completing the preprocessing step, the segmented image is extracted from the surveillance cameras to identify expressions and vehicle images. Raw images of the surveillance camera comprise the images of individuals and vehicles that are classified by means of DWT. Further, the images that represent the appearances are taken by Smart Selfie Click (SSC). These two features are extracted in order to identify whether or not a vehicle should be permitted into the campus, thus making the verification possible. These two images are nothing but reliable objects extracted and used for location identification.