Vehicle Detection Using Image Processing

Nowadays, detection of the vehicles and their classification is very essential and also it has a lot of importance because of its use in many applications. One of the main applications is controlling and managing traffic. Vehicle detection and tracking plays a major role in the project of preventing road accidents using image processing. Tracking of moving objects is important in monitoring surveillance videos and capturing human motion. Taking its importance into consideration, an efficient algorithm is proposed to detect vehicles in an image using image processing. The image is captured from the front view of the vehicles. So, this algorithm detects vehicles using the front view. Each vehicle is detected based on its size. The two major techniques used in this algorithm are edge detection and morphological processing. Edge detection as well as morphological processing are important applications in image processing because of their wide range of uses. Edge detection is used to enhance the objects in image. Morphological operations are used to remove noise and as well as to adjust image in such a way to detect objects in an image. The simulation work of this algorithm is done in MATLAB which is a very strong scientific tool.